• MarkItDown - Make any document AI friendly (by microsoft)

    MarkItDown is a Python utility designed for converting various file types—including PDFs, Word documents, and images—into Markdown format, emphasizing compatibility with Large Language Models (LLMs) for text analysis. This tool supports a wide range of formats while maintaining essential document structures, as well as integrating seamlessly with existing LLM applications through its Model Context Protocol (MCP). Recent updates introduced breaking changes that require users to adapt their implementations, particularly concerning file handling and dependencies.

    https://github.com/microsoft/markitdown

    Someone created a pallatform for this here:
    https://markitdown.pro/

    #MarkItDown #Microsoft #Python #LLM #LargeLanguageModels #Markdown #DocumentConversion #AI #TextAnalysis #ModelContextProtocol #PDFtoMarkdown #WordtoMarkdown #Imagetomarkdown #markitdownpro #Langchain #LlamaIndex #DataConnectors #AIworkflows
    MarkItDown - Make any document AI friendly (by microsoft) MarkItDown is a Python utility designed for converting various file types—including PDFs, Word documents, and images—into Markdown format, emphasizing compatibility with Large Language Models (LLMs) for text analysis. This tool supports a wide range of formats while maintaining essential document structures, as well as integrating seamlessly with existing LLM applications through its Model Context Protocol (MCP). Recent updates introduced breaking changes that require users to adapt their implementations, particularly concerning file handling and dependencies. https://github.com/microsoft/markitdown Someone created a pallatform for this here: https://markitdown.pro/ #MarkItDown #Microsoft #Python #LLM #LargeLanguageModels #Markdown #DocumentConversion #AI #TextAnalysis #ModelContextProtocol #PDFtoMarkdown #WordtoMarkdown #Imagetomarkdown #markitdownpro #Langchain #LlamaIndex #DataConnectors #AIworkflows
    GitHub - microsoft/markitdown: Python tool for converting files and office documents to Markdown.
    github.com
    Python tool for converting files and office documents to Markdown. - microsoft/markitdown
    0 Comments ·0 Shares ·405 Views
  • The Prompt Report: A Systematic Survey of Prompting Techniques

    "The Prompt Report," is the result of an extensive study analyzing over 1,500 academic papers on prompting conducted by a team of researchers from leading institutions. It introduces a structured taxonomy of 58 prompting techniques organized into six categories, highlighting effective strategies such as Few-Shot and Chain-of-Thought prompting. Additionally, the report discusses the importance of In-Context Learning and assesses the performance of various prompting techniques while offering insights into future challenges and developments in human-AI interactions.

    Key Points
    - A systematic analysis resulted in the creation of "The Prompt Report," detailing over 58 prompting techniques within a comprehensive 80-page document.
    - The report categorizes prompting techniques into six problem-solving areas, enabling users to identify and apply the best methods for their tasks.
    - In-Context Learning (ICL) allows language models to perform tasks based on examples within prompts, emphasizing the power of Few-Shot techniques.
    - Effective prompt design hinges on various factors including the quality, quantity, and format of examples used in prompts.
    - Benchmarking results reveal Few-Shot Chain-of-Thought techniques as superior for reasoning tasks, while Self-Consistency is less effective than anticipated.
    - Comparisons show that AI-driven prompt engineering tools can outperform manual efforts, highlighting advancements in automated prompting techniques.
    - The report addresses future challenges in prompting, including prompt drift, multilingual applications, and integrating multimodal inputs.

    https://learnprompting.org/blog/the_prompt_report
    https://huggingface.co/papers/2406.06608
    https://www.researchgate.net/publication/381318099_The_Prompt_Report_A_Systematic_Survey_of_Prompting_Techniques

    #PromptReport #PromptEngineering #InContextLearning #FewShotLearning #ChainOfThought #PromptingTechniques #AI #NLP #LanguageModels #HumanAIInteraction #PromptDrift #MultilingualAI #LearnPrompting #AISurvey #PromptTaxonomy #SelfConsistency #PromptTools
    The Prompt Report: A Systematic Survey of Prompting Techniques "The Prompt Report," is the result of an extensive study analyzing over 1,500 academic papers on prompting conducted by a team of researchers from leading institutions. It introduces a structured taxonomy of 58 prompting techniques organized into six categories, highlighting effective strategies such as Few-Shot and Chain-of-Thought prompting. Additionally, the report discusses the importance of In-Context Learning and assesses the performance of various prompting techniques while offering insights into future challenges and developments in human-AI interactions. Key Points - A systematic analysis resulted in the creation of "The Prompt Report," detailing over 58 prompting techniques within a comprehensive 80-page document. - The report categorizes prompting techniques into six problem-solving areas, enabling users to identify and apply the best methods for their tasks. - In-Context Learning (ICL) allows language models to perform tasks based on examples within prompts, emphasizing the power of Few-Shot techniques. - Effective prompt design hinges on various factors including the quality, quantity, and format of examples used in prompts. - Benchmarking results reveal Few-Shot Chain-of-Thought techniques as superior for reasoning tasks, while Self-Consistency is less effective than anticipated. - Comparisons show that AI-driven prompt engineering tools can outperform manual efforts, highlighting advancements in automated prompting techniques. - The report addresses future challenges in prompting, including prompt drift, multilingual applications, and integrating multimodal inputs. https://learnprompting.org/blog/the_prompt_report https://huggingface.co/papers/2406.06608 https://www.researchgate.net/publication/381318099_The_Prompt_Report_A_Systematic_Survey_of_Prompting_Techniques #PromptReport #PromptEngineering #InContextLearning #FewShotLearning #ChainOfThought #PromptingTechniques #AI #NLP #LanguageModels #HumanAIInteraction #PromptDrift #MultilingualAI #LearnPrompting #AISurvey #PromptTaxonomy #SelfConsistency #PromptTools
    The Prompt Report: Insights from The Most Comprehensive Study of Prompting Ever Done
    learnprompting.org
    Discover actionable insights from The Prompt Report, the most comprehensive study of 1,500+ papers and 58 prompting techniques ever done.
    0 Comments ·0 Shares ·249 Views
  • PLINY THE PROMPTER

    Discusses various advancements in the field of autonomous red teaming, specifically focusing on jailbreak techniques for language models. It highlights the contributions of a prominent figure, Pliny the Prompter, in developing effective jailbreak prompts and attack strategies. Additionally, it addresses ongoing research aimed at enhancing defenses against these vulnerabilities, emphasizing the importance of understanding and mitigating jailbreak risks through comprehensive studies and innovative methodologies.

    Key Points
    The document introduces "AutoRedTeamer," emphasizing its capacity for lifelong attack integration in red teaming.
    "Pliny the Prompter" is credited with devising a highly effective jailbreak prompt that deepens the understanding of language model vulnerabilities.
    The L1B3RT4S project demonstrates manual attack methods using leetspeak encoding, contributing to broader jailbreak techniques.
    Current research on bijection learning attacks presents competitive alternatives to established jailbreak methods pioneered by Pliny.
    The "DeepSeek-R1" project illustrates how behavior modification can be tailored through mixtures of tunable experts, drawing on existing jailbreak strategies.
    Research on constitutional classifiers is focused on defending against universal jailbreaks by leveraging insights from extensive red teaming exercises.
    The RoboPAIR platform investigates jailbreaking within LLM-controlled robotic systems, expanding the application of prompt-based attacks beyond traditional language models.

    https://pliny.gg/

    #PlinyThePrompter #AutoRedTeamer #L1B3RT4S #DeepSeekR1 #RoboPAIR #JailbreakLLM #AISecurity #RedTeaming #PromptEngineering #LanguageModels #LLMVulnerability #AIJailbreak #ConstitutionalAI #AdversarialAI #BijectionLearning #AISafety #LLMSecurity #AIResearch
    PLINY THE PROMPTER Discusses various advancements in the field of autonomous red teaming, specifically focusing on jailbreak techniques for language models. It highlights the contributions of a prominent figure, Pliny the Prompter, in developing effective jailbreak prompts and attack strategies. Additionally, it addresses ongoing research aimed at enhancing defenses against these vulnerabilities, emphasizing the importance of understanding and mitigating jailbreak risks through comprehensive studies and innovative methodologies. Key Points The document introduces "AutoRedTeamer," emphasizing its capacity for lifelong attack integration in red teaming. "Pliny the Prompter" is credited with devising a highly effective jailbreak prompt that deepens the understanding of language model vulnerabilities. The L1B3RT4S project demonstrates manual attack methods using leetspeak encoding, contributing to broader jailbreak techniques. Current research on bijection learning attacks presents competitive alternatives to established jailbreak methods pioneered by Pliny. The "DeepSeek-R1" project illustrates how behavior modification can be tailored through mixtures of tunable experts, drawing on existing jailbreak strategies. Research on constitutional classifiers is focused on defending against universal jailbreaks by leveraging insights from extensive red teaming exercises. The RoboPAIR platform investigates jailbreaking within LLM-controlled robotic systems, expanding the application of prompt-based attacks beyond traditional language models. https://pliny.gg/ #PlinyThePrompter #AutoRedTeamer #L1B3RT4S #DeepSeekR1 #RoboPAIR #JailbreakLLM #AISecurity #RedTeaming #PromptEngineering #LanguageModels #LLMVulnerability #AIJailbreak #ConstitutionalAI #AdversarialAI #BijectionLearning #AISafety #LLMSecurity #AIResearch
    0 Comments ·0 Shares ·639 Views
  • A gold mine for prompt engineering code.

    Grab the link on GitHub:
    https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P

    After completing this course, you will be able to:

    • Recognize common failure modes
    • Master the basic structure of a good prompt
    • Understand Claude's strengths and weaknesses
    • Build strong prompts from scratch for common use cases

    #PromptEngineering #AI #Claude #Anthropic #GitHub #Prompting #AIML #LLM #LargeLanguageModels #GenerativeAI #FailureModes #PromptStructure #AISolutions #AICourse
    A gold mine for prompt engineering code. Grab the link on GitHub: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P After completing this course, you will be able to: • Recognize common failure modes • Master the basic structure of a good prompt • Understand Claude's strengths and weaknesses • Build strong prompts from scratch for common use cases #PromptEngineering #AI #Claude #Anthropic #GitHub #Prompting #AIML #LLM #LargeLanguageModels #GenerativeAI #FailureModes #PromptStructure #AISolutions #AICourse
    courses/prompt_engineering_interactive_tutorial/Anthropic 1P at master · anthropics/courses
    github.com
    Anthropic's educational courses. Contribute to anthropics/courses development by creating an account on GitHub.
    0 Comments ·0 Shares ·493 Views
  • Where to find Anthropic's on-demand Courses:

    https://github.com/anthropics/prompt-eng-interactive-tutorial

    https://www.anthropic.com/learn

    https://github.com/anthropics/courses

    This repository contains an interactive tutorial created by Anthropic to provide a comprehensive understanding of prompt engineering within the Claude language model. The tutorial covers various aspects of prompt engineering, from basic prompt structure to advanced techniques for building complex prompts.

    #Anthropic #Claude #PromptEngineering #AIML #LanguageModels #InteractiveTutorial #GitHub #PromptStructure #AdvancedTechniques #AIeducation #AICourse #PromptBuilding #GenerativeAI #AItools
    Where to find Anthropic's on-demand Courses: https://github.com/anthropics/prompt-eng-interactive-tutorial https://www.anthropic.com/learn https://github.com/anthropics/courses This repository contains an interactive tutorial created by Anthropic to provide a comprehensive understanding of prompt engineering within the Claude language model. The tutorial covers various aspects of prompt engineering, from basic prompt structure to advanced techniques for building complex prompts. #Anthropic #Claude #PromptEngineering #AIML #LanguageModels #InteractiveTutorial #GitHub #PromptStructure #AdvancedTechniques #AIeducation #AICourse #PromptBuilding #GenerativeAI #AItools
    0 Comments ·0 Shares ·510 Views
  • Andrej Karpathy discusses the evolution of software, introducing Software 1.0, 2.0, and 3.0, highlighting the rise of large language models (LLMs) as a new programming paradigm. He emphasizes the importance of adapting to these changes, exploring the potential of LLMs in various applications, and the need for a collaborative approach between humans and AI.

    https://youtu.be/LCEmiRjPEtQ?si=KlGcFZYTI9HeL1ho

    #Software1.0 #Software2.0 #Software3.0 #AndrejKarpathy #LLMs #LargeLanguageModels #AIProgramming #ArtificialIntelligence #MachineLearning #NeuralNetworks #DeepLearning #AICoding #AICollaboration #ProgrammingParadigm #Codegen
    Andrej Karpathy discusses the evolution of software, introducing Software 1.0, 2.0, and 3.0, highlighting the rise of large language models (LLMs) as a new programming paradigm. He emphasizes the importance of adapting to these changes, exploring the potential of LLMs in various applications, and the need for a collaborative approach between humans and AI. https://youtu.be/LCEmiRjPEtQ?si=KlGcFZYTI9HeL1ho #Software1.0 #Software2.0 #Software3.0 #AndrejKarpathy #LLMs #LargeLanguageModels #AIProgramming #ArtificialIntelligence #MachineLearning #NeuralNetworks #DeepLearning #AICoding #AICollaboration #ProgrammingParadigm #Codegen
    0 Comments ·0 Shares ·487 Views
  • Google AI Tools For Educators.

    Teacher-led Gems in Classroom: Educators can create Gems, which are custom versions of Gemini, for students to interact with. After uploading resources to inform the Gem, educators can quickly create AI experts to help students who need extra support or want to go deeper in their learning. For example, educators in early pilots have created Gems, informed by their Classroom materials and information on the web, to help assist students when they need help with their homework.

    #google #gemini #googleclassroom #ai #edtech #education #aiassistants #homeworkhelp #personalizedlearning #teachingtools #largeLanguageModels #customai #googleai

    https://blog.google/outreach-initiatives/education/expanded-access-to-google-vids-and-no-cost-ai-tools-in-classroom/
    Google AI Tools For Educators. Teacher-led Gems in Classroom: Educators can create Gems, which are custom versions of Gemini, for students to interact with. After uploading resources to inform the Gem, educators can quickly create AI experts to help students who need extra support or want to go deeper in their learning. For example, educators in early pilots have created Gems, informed by their Classroom materials and information on the web, to help assist students when they need help with their homework. #google #gemini #googleclassroom #ai #edtech #education #aiassistants #homeworkhelp #personalizedlearning #teachingtools #largeLanguageModels #customai #googleai https://blog.google/outreach-initiatives/education/expanded-access-to-google-vids-and-no-cost-ai-tools-in-classroom/
    0 Comments ·0 Shares ·376 Views ·0 Plays
  • Check this Repo out !

    Shubham Saboo's GitHub repository hosts a collection of LLM Apps. These applications leverage large language models (LLMs) from various providers, including OpenAI, Anthropic, and Google, and open-source models. The apps incorporate Retrieval-Augmented Generation (RAG), AI agents, multi-agent teams, and voice agent technologies. This curated list is a valuable resource for exploring the capabilities and applications of LLMs in different contexts.

    #AwesomeLLMApps #LLM #LargeLanguageModels #OpenAI #Anthropic #GoogleAI #RAG #RetrievalAugmentedGeneration #AIAgents #MultiAgentTeams #VoiceAgents #GitHub #MachineLearning #NLP #AI #Langchain #LlamaIndex #DeepLearning #AISolutions

    https://github.com/Shubhamsaboo/awesome-llm-apps
    Check this Repo out ! Shubham Saboo's GitHub repository hosts a collection of LLM Apps. These applications leverage large language models (LLMs) from various providers, including OpenAI, Anthropic, and Google, and open-source models. The apps incorporate Retrieval-Augmented Generation (RAG), AI agents, multi-agent teams, and voice agent technologies. This curated list is a valuable resource for exploring the capabilities and applications of LLMs in different contexts. #AwesomeLLMApps #LLM #LargeLanguageModels #OpenAI #Anthropic #GoogleAI #RAG #RetrievalAugmentedGeneration #AIAgents #MultiAgentTeams #VoiceAgents #GitHub #MachineLearning #NLP #AI #Langchain #LlamaIndex #DeepLearning #AISolutions https://github.com/Shubhamsaboo/awesome-llm-apps
    GitHub - Shubhamsaboo/awesome-llm-apps: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
    github.com
    Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models. - Shubhamsaboo/awesome-llm-apps
    0 Comments ·0 Shares ·608 Views
  • "You got Rizz ... l got Rizz" soon will be "You got Prompts ... l got Prompts" ... let me show you !

    Prompts.chat is a curated collection of effective prompts for ChatGPT and other AI assistants, curated by Fatih Kadir Akın. While designed for ChatGPT, these prompts can be adapted for Claude, Gemini, Llama, and other language models to help you get more out of AI interactions.

    #promptschat #chatgpt #claude #gemini #llama #aiprompts #promptengineering #aiassistants #promptcollection #languagemodels #aiinteractions #promptlibrary #aitools #conversationalai #promptoptimization

    https://prompts.chat/
    "You got Rizz ... l got Rizz" soon will be "You got Prompts ... l got Prompts" ... let me show you ! Prompts.chat is a curated collection of effective prompts for ChatGPT and other AI assistants, curated by Fatih Kadir Akın. While designed for ChatGPT, these prompts can be adapted for Claude, Gemini, Llama, and other language models to help you get more out of AI interactions. #promptschat #chatgpt #claude #gemini #llama #aiprompts #promptengineering #aiassistants #promptcollection #languagemodels #aiinteractions #promptlibrary #aitools #conversationalai #promptoptimization https://prompts.chat/
    0 Comments ·0 Shares ·436 Views
  • Unlock the potential of AI with Anthropic's guide to prompt engineering for Claude! This comprehensive resource helps developers craft effective prompts to maximize Claude's capabilities in various applications. Learn key strategies for optimizing your prompts to improve response quality and relevance, whether you're focused on creative writing, coding assistance, or more specialized tasks. With practical examples and detailed tips, you'll gain the insights needed to create powerful interactions with AI. Start enhancing your projects with Claude's advanced capabilities today!

    #AIPromptEngineering #ClaudeAI #MachineLearning #TechInnovation #Anthropic#anthropic #claude #promptengineering #ai #artificialintelligence #promptdesign #machinelearning #largeLanguageModels #llm #nlp #naturalLanguageProcessing #promptoptimization #airesearch #aitools #googlebard #chatgpt #gemini #aiwriting #aicoding #aichatbot

    https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview
    Unlock the potential of AI with Anthropic's guide to prompt engineering for Claude! 🌟 This comprehensive resource helps developers craft effective prompts to maximize Claude's capabilities in various applications. Learn key strategies for optimizing your prompts to improve response quality and relevance, whether you're focused on creative writing, coding assistance, or more specialized tasks. With practical examples and detailed tips, you'll gain the insights needed to create powerful interactions with AI. Start enhancing your projects with Claude's advanced capabilities today! 🤖✨ #AIPromptEngineering #ClaudeAI #MachineLearning #TechInnovation #Anthropic#anthropic #claude #promptengineering #ai #artificialintelligence #promptdesign #machinelearning #largeLanguageModels #llm #nlp #naturalLanguageProcessing #promptoptimization #airesearch #aitools #googlebard #chatgpt #gemini #aiwriting #aicoding #aichatbot https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview
    0 Comments ·0 Shares ·763 Views
  • Elon Musk is set to release Grok 4 shortly after July 4th. It will be a new version of his AI assistant, accessible via grok.com, iOS, and Android. The release is pending one final run for a specialized coding model. This suggests Grok 4 will have enhanced capabilities and improvements compared to previous versions, potentially including a focus on coding tasks. The availability across multiple platforms indicates a broad accessibility strategy.

    #Grok4 #Grok #AIassistant #ElonMusk #AI #CodingModel #AIcoding #LLM #LargeLanguageModels #Gemini #ChatGPT #ClaudeAI #AIupdate #MachineLearning #grokdotcom #iOS #Android #AIAccessibility

    https://www.youtube.com/watch?v=JmPhTvhJNWU
    Elon Musk is set to release Grok 4 shortly after July 4th. It will be a new version of his AI assistant, accessible via grok.com, iOS, and Android. The release is pending one final run for a specialized coding model. This suggests Grok 4 will have enhanced capabilities and improvements compared to previous versions, potentially including a focus on coding tasks. The availability across multiple platforms indicates a broad accessibility strategy. #Grok4 #Grok #AIassistant #ElonMusk #AI #CodingModel #AIcoding #LLM #LargeLanguageModels #Gemini #ChatGPT #ClaudeAI #AIupdate #MachineLearning #grokdotcom #iOS #Android #AIAccessibility https://www.youtube.com/watch?v=JmPhTvhJNWU
    0 Comments ·0 Shares ·598 Views
  • Your code’s new collaborator
    Unleash Claude’s raw power directly in your terminal. Search million-line codebases instantly. Turn hours-long workflows into a single command. Your tools. Your workflow. Your codebase, evolving at thought speed.

    npm install -g @anthropic-ai/claude-code

    #ClaudeCode #Anthropic #AI #TerminalTools #CodeSearch #CodebaseAnalysis #CommandLine #DeveloperTools #AICodingAssistant #LargeLanguageModels #CodeCompletion #CodeGeneration #SoftwareDevelopment #GitHubCopilot #Tabnine #AIWorkflow #CodingProductivity\

    https://www.anthropic.com/claude-code
    Your code’s new collaborator Unleash Claude’s raw power directly in your terminal. Search million-line codebases instantly. Turn hours-long workflows into a single command. Your tools. Your workflow. Your codebase, evolving at thought speed. npm install -g @anthropic-ai/claude-code #ClaudeCode #Anthropic #AI #TerminalTools #CodeSearch #CodebaseAnalysis #CommandLine #DeveloperTools #AICodingAssistant #LargeLanguageModels #CodeCompletion #CodeGeneration #SoftwareDevelopment #GitHubCopilot #Tabnine #AIWorkflow #CodingProductivity\ https://www.anthropic.com/claude-code
    Claude Code: Deep Coding at Terminal Velocity \ Anthropic
    www.anthropic.com
    Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebase—no more context switching, just breakthrough results.
    0 Comments ·0 Shares ·891 Views
More Results
Displaii AI https://displaii.com