Alison offers free online courses covering machine learning. These courses are designed for individuals with a background in computer programming and science. The courses utilize Python and cover topics like different algorithms, KNN, and random. These courses are suitable for students and anyone seeking to learn more about the evolving field of machine learning. #alison #alisoncourses #machinelearning #onlinecourses #python #knn #randomforest #datascience #coding #programming #learntocode #freecourses #education #mlalgorithms #deeplearning #tensorflow #pytorch #scikitlearn https://alison.com/course/machine-learning-with-artificial-intelligence https://www.edupstairs.org/free-online-course-diploma-in-machine-learning-with-python/

Introducing Gemma 3N: Enhancing AI Development with Google Gemma 3N is Google’s latest innovation designed to simplify the development of AI applications. This comprehensive tool offers a developer-friendly environment that facilitates building, training, and deploying AI models with ease. With features such as a streamlined user interface and robust integration capabilities, Gemma 3N aims to reduce the complexity of AI development processes, making it accessible to both experienced developers and those new to the field. Targeting a wide range of users, from tech startups to established enterprises, Gemma 3N provides extensive documentation and support to ensure that all users can take full advantage of its powerful capabilities. By enhancing efficiency and accessibility in AI development, Gemma 3N positions itself as a valuable resource for anyone looking to harness the potential of artificial intelligence. Hashtags #Gemma3N #GoogleAI #AIDevelopment #MachineLearning #TechTools #DeveloperResources #ArtificialIntelligence #AIEmpowerment #SoftwareDevelopment #DataScience #CloudComputing https://developers.googleblog.com/ja/introducing-gemma-3n-developer-guide/

The Ongoing Copyright Debate: The New York Times vs. OpenAI and Microsoft Recently, the New York Times (NYT) filed a lawsuit against OpenAI and Microsoft, alleging that they used millions of copyrighted NYT articles to train their AI models without permission. The lawsuit claims that OpenAI’s models sometimes generate content that closely resembles NYT articles, raising important questions about copyright infringement and the implications for generative AI technologies. While the NYT aims to protect journalistic integrity, critics argue the lawsuit lacks clarity in establishing how exactly the models regurgitate content, leaving many confused about the relationship between AI training and output. Experts suggest that the AI's responses may not solely derive from their training data but could also involve mechanisms like retrieval-augmented generation (RAG), which allows models to pull real-time data from the internet. If this is the case, limiting the regurgitation of copyrighted material might be technically feasible without completely hindering AI capabilities. As AI models evolve and adjustments are made to minimize such occurrences, the industry collectively continues to search for balanced solutions to address copyright concerns while enabling innovation in AI technologies. Hashtags #NewYorkTimes #OpenAI #Microsoft #CopyrightLawsuit #GenerativeAI #AIEthics #MachineLearning #DataPrivacy #TechNews #AIRegulation #DigitalMedia https://www.deeplearning.ai/the-batch/the-new-york-times-versus-openai-and-microsoft/

Streamline Your AI Interactions with OpenMemory OpenMemory is a groundbreaking Chrome extension designed to enhance your experience with multiple AI assistants like ChatGPT, Claude, and Perplexity by synchronizing context across different platforms. This innovative tool addresses the common frustration of losing conversations and context when switching between assistants, allowing you to capture, retrieve, and inject memories in real time. With features such as a collapsible sidebar for managing your memories and the ability to sync context effortlessly, OpenMemory ensures you can keep your conversations coherent and productive. The extension is open-source, free to use, and employs a strict privacy model to keep your data secure. Whether you’re a developer organizing snippets of code or a researcher compiling information, OpenMemory makes interactions with AI assistants more efficient and seamless. #OpenMemory #AIIntegration #ChromeExtension #AItools #ChatGPT #ClaudeAI #DataPrivacy #Automation #Productivity #TechSolutions #DeveloperTools https://dev.to/anmolbaranwal/how-to-sync-context-across-ai-assistants-chatgpt-claude-perplexity-in-your-browser-2k9l

In this theater session, Software Engineer Eleanor Boyd walks through building a custom MCP (Model Context Protocol) server in Visual Studio Code using GitHub Copilot and Python. She walks through a real use case, fetching PyPI package data, and shows how to connect your tool to Copilot’s Agent Mode for powerful AI-assisted coding. #MCP #ModelContextProtocol #VisualStudioCode #GitHubCopilot #Python #PyPI #AIAssistedCoding #AgentMode #SoftwareEngineering #CodeDevelopment #AItools #Codegen #CodeCompletion #Tabnine #AmazonCodeWhisperer #JetBrainsAIAssistant https://youtu.be/SYcQXozpb_E?si=8QgX0-7lr3WsA0ZJ

Introducing Gemini CLI: Your Open-Source AI Agent Gemini CLI is a powerful open-source AI agent by Google designed to streamline development workflows by enabling users to leverage AI capabilities directly from the command line. This innovative tool enhances productivity by allowing developers to generate code snippets, automate tasks, and interact with APIs seamlessly, all through simple commands. Gemini CLI focuses on making AI more accessible and practical, particularly for tasks that require quick execution and integration into existing development environments. Key features include its ability to handle complex queries and provide context-aware responses, effectively assisting users with coding challenges and automating repetitive tasks. Whether you’re a seasoned developer or just starting, Gemini CLI offers a robust solution to enhance your coding experience without the overhead of traditional IDEs. Explore the potential of AI in your workflow with Gemini CLI and transform how you build and deploy applications. Hashtags #GeminiCLI #GoogleAI #OpenSource #AIagent #CommandLineTools #DeveloperTools #Automation #Productivity #AIInCoding #TechInnovation https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/

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

In this tutorial, ‪@theflowgrammer‬ walks you through the conceptual foundations you need to know to build powerful n8n workflows from scratch. Follow Max on LinkedIn: / maxtkacz Max covers: ✅ How triggers and actions work in n8n ✅ Understanding data flow between workflow steps ✅ Mapping and transforming data dynamically ✅ Building conditional routing with business logic ✅ Connecting to apps like Slack for real automation ✅ Activating the workflow and accessing production executions #n8n #workflowautomation #automation #lowcode #nocode #trigger #actions #dataflow #integration #slack #theflowgrammer #make #zapier #ifttt https://m.youtube.com/watch?v=4cQWJViybAQ

https://youtu.be/3DL0k7QY8-M?si=RNy49zPuARAvd8mQ

🚀 Unlock the Power of Model Context Protocol (MCP) with Sampling! 🌟 In the latest installment of the MCP crash course, we dive into sampling, one of the most powerful features of the protocol. This innovative approach allows servers to delegate tasks back to the client's LLM, enabling a seamless integration of AI functionalities without overwhelming server resources. Key Highlights: Bidirectional Architecture: While LLM clients typically invoke server logic, sampling lets servers request input from the client’s AI model, creating a more efficient workflow. Cost Efficiency: By transferring the burden of AI computation to the client, it reduces server load and associated costs. Flexibility & Scalability: Clients can choose their preferred models for different requests, which enhances application scalability and user customization. By implementing sampling, developers can build better, more responsive AI-driven applications. Discover how to optimize your MCP servers and improve the overall performance with practical examples and best practices in the full article! #AI #MachineLearning #TechInnovation #ModelContextProtocol #MCP #Sampling #ServerSideLogic #LLM #OpenSource #DevCommunity https://www.dailydoseofds.com/model-context-protocol-crash-course-part-5/

https://vm.tiktok.com/ZMSCQ3cLp/

Discover your limiting Beliefs using this prompt https://x.com/PromptLLM/status/1939062965883281479