lison 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/

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

🚀 Explore the world of AI with local, open-source alternatives to ChatGPT! 🖥️ These tools offer privacy, offline access, and full control over your chatbot experience. Here are 10 of the best options from a recent roundup: Gaia by AMD - A user-friendly model running fully locally on Windows PCs, optimized for Ryzen AI. Ollama - A sleek interface for LLaMA, Mistral, and Gemma, making local LLM usage simple and efficient. LM Studio - A GUI application that supports various models and offers an intuitive user experience. LocalAI - An API-compatible tool that allows easy integration of local LLMs into your applications. Text Generation Web UI (oobabooga) - A feature-rich local LLM with extensive plugin support and community-driven enhancements. PrivateGPT - Offers a fully offline AI experience with document querying capabilities, perfect for sensitive data. GPT4All - A plug-and-play solution for using multiple LLMs seamlessly on consumer hardware. Jan - A beautiful local assistant with a focus on code assistance, catering especially to macOS users. Hermes/KoboldAI Horde - Designed for storytelling and dialogue, perfect for writers and creatives. Chatbot UI + Ollama Backend - A ChatGPT-style interface for a personalized local chatbot experience. These tools not only protect your privacy but also empower you to customize your AI interactions. Dive into the open-source revolution! #AI #ChatGPT #OpenSource #LocalAI #Privacy #MachineLearning #LLM #NLP #DevTools #localai #opensource #chatgpt #llm #ai #gaia #ollama #lmstudio #textgenerationwebui #privategpt #gpt4all #jan #hermes #koboldai #chatbotui #amd #ryzenai #llama #mistral #gemma #macos #offlineai #aicoding #chatbot #localmodels https://dev.to/therealmrmumba/10-best-open-source-chatgpt-alternative-that-runs-100-locally-jdc

🚀 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/

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

Google's AI Learning Resources: A Comprehensive Guide Google offers a wealth of resources for individuals looking to expand their knowledge and skills in Artificial Intelligence. From YouTube playlists offering practical tutorials to dedicated learning portals, Google provides various avenues for exploring AI concepts and applications. The provided links lead to three particularly valuable resources: A YouTube playlist likely containing AI tutorials and explainers, Google's "Learn AI Skills" portal, and Google Cloud's Machine Learning/AI training section. These resources collectively cater to a wide range of skill levels, from beginners seeking introductory concepts to experienced developers looking to implement AI solutions within the Google Cloud ecosystem. Whether you are interested in understanding the basics of machine learning or mastering specific AI tools, Google's learning resources offer a structured and accessible pathway to acquiring valuable AI expertise. #GoogleAI #LearnAISkills #GoogleCloudAI #MachineLearning #ArtificialIntelligence #AITraining #GoogleCloud #TensorFlow #Keras #AIeducation #AIML #DeepLearning #AITutorials #GoogleforAI https://ai.google/learn-ai-skills/ https://grow.google/intl/ssa-en/#filter https://cloud.google.com/learn/training/machinelearning-ai https://youtube.com/playlist?list=PLTZYG7bZ1u6piogbmszA_TzDyR3K85Qn9&si=K2RRhUNvjlVhq8rT

Anthropic secured a ruling affirming fair use in AI training, but faces trial for using pirated books. Amazon's Project Reneer aims to enhance AI capabilities, while Google donates A2A protocol to the Linux Foundation. Additionally, AI's impact on marketing and hiring practices is reshaping industries, raising concerns about authenticity and overregulation. #anthropic #projectreneer #fairuse #ai #aitraining #linuxfoundation #a2aprotocol #googleai #amazonai #aimarketing #aiethics #aihiring #generativeai #machinelearning #artificialintelligence https://youtu.be/jpvM94HRi44

Elon Musk announced Grok 4's release, slated for just after July 4th. He mentioned 'good progress' and a need for one more significant run, specifically for a specialized coding model. This implies ongoing development and optimization. Some reports indicate concerns about Grok aligning with Musk's views. The announcement came from a tweet where Musk highlighted working on Grok with the xAI team. #Grok4 #xAI #ElonMusk #AI #LLM #CodingModel #AIAlignment #MachineLearning #ArtificialIntelligence #GPT5 #Gemini #Claude #AISafety #TechNews #July4th #Innovation #DeepLearning #NeuralNetworks #AIdevelopment https://x.com/elonmusk/status/1938561602640605363

Andrej Karpathy discusses "Software 3.0" in the context of AI, highlighting the shift where software behavior is defined and processed by machines, unlike traditional software. This new era leverages Large Language Models (LLMs) as the foundation, with prompts functioning as programs. The concept encompasses aspects such as LLM psychology and partial autonomy, suggesting a future where software interacts and evolves differently. This represents a move away from explicitly coded instructions towards systems that learn and adapt through data and interaction. #Software3.0 #AI #LLMs #LargeLanguageModels #AndrejKarpathy #PromptEngineering #MachineLearning #ArtificialIntelligence #DeepLearning #NeuralNetworks #AutonomousSystems #AISoftware #Langchain #GPT4 #Gemini #Claude https://youtu.be/LCEmiRjPEtQ?si=A1KZ7ZYW2Mqt7BEh

Imagine this .... Anthropic CEO Admits We Have No Idea How AI Works "This lack of understanding is essentially unprecedented in the history of technology." The CEO of Anthropic, a leading AI lab, has stated that the inner workings of AI models are not fully understood. This lack of understanding, as admitted by Dario Amodei, raises concerns about potential societal impacts. This admission highlights a crucial challenge in the field: the increasing complexity of AI systems outpaces our ability to fully comprehend them. This poses significant challenges for safety, transparency, and responsible development, as it becomes harder to predict and control AI behavior. The focus now is on finding ways to make AI more explainable and interpretable. https://futurism.com/anthropic-ceo-admits-ai-ignorance #AI #ArtificialIntelligence #TechNews #FutureOfAI #MachineLearning #AIInnovation #TechTalk #AIRevolution #ResponsibleAI #AIExplainability #TechTrends #FutureTech #AIImpact #DigitalTransformation #AIChallenges