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

Apple is reportedly considering acquiring Perplexity AI, a deal potentially valued around $14 billion. This move signifies Apple's interest in building advanced AI capabilities, potentially including a chatbot, and marks a significant step in its AI strategy. Discussions have been held internally regarding this acquisition. The acquisition would allow Apple to build what could become the world's first comprehensive AI. #PerplexityAI #Apple #AIacquisition #Chatbot #ArtificialIntelligence #AIstrategy #BigTech #AIMerger #DeepLearning #MachineLearning #GenerativeAI #LLMs #SearchEngine #AIresearch #Siri #Bard #ChatGPT #Gemini https://techfundingnews.com/apple-considering-14b-perplexity-acquisition/

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

This is madness leonidas! So someone beat to the punch l tried working on something similar 3 years ago but yeah ... execution Leonidas ! modelplayground.ai is a platform for comparing and evaluating various AI models. It provides access to over 100 models through a "single subscription" (my mantra for the project ... l m deeply touched!), without any markup. The platform is in its early stages, but it seems geared towards facilitating the side-by-side comparison and analysis of different AI solutions, allowing users to find the best fit for their needs. The website is modelplayground.ai. It compares Image, Video and 3D Ai generators. https://modelplayground.ai/ https://www.linkedin.com/posts/craig-pickard-tech_i-dont-post-on-linkedin-very-often-but-activity-7343356563715178496-CfXX/ https://www.reddit.com/r/SideProject/comments/1lkabo0/we_built_a_playground_to_compare_100_genai_models/ #modelplaygroundai #aimodels #generativeai #machinelearning #ai #sideproject #imageai #videoai #3dai #modelcomparison #aievaluation #aicrossroads #huggingface #midjourney #stablediffusion #aitools #aiml #ainews

Tool: Cognition AI is the company behind Devin, which is an AI agent designed for writing code. The co-founders include Scott Wu and possibly Walden Yan and Steven J. as well. Cognition AI was founded in 2022 by three former coders from Susquehanna. Devin's announcement was made on March 12, 2024. So whats the big deal ... Devin isn’t just another “code completion” model. It behaves like a junior software engineer who can pick up a ticket and carry it all the way to a tested pull-request. Try it ! Check out Devin here: https://devin.ai/ officail youtube announcement from Cognition Labs: https://youtu.be/fjHtjT7GO1c?si=fJY9XiFBNrPBKouo #devin #cognitionai #aiagent #aicoding #softwareengineer #cursor #github #copilot #codeium #tabnine #codegen #pullrequest #juniorengineer #automation #aiassistant #programming #devtools #machinelearning #artificialintelligence #coding

So whats the next big fad .... "Context Engineering". So WHAT IS CONTEXT ENGINEERING? 𝟭. It’s Feature Engineering—but for AI Agents. (*Check what's feature engineering down below) 𝟮. The art of filling the context window with exactly what’s needed. 𝟯. You’re managing “working memory” like an operating system manages RAM. 𝟰. Agents need engineered context: instructions, tools, memories, examples, feedback. 𝟱. Poor context = forgotten steps, broken tools, bad decisions. 𝟲. Long-running agents hit context limits fast—engineering is essential. 𝟳. Vibe coding doesn’t scale—context engineering does. In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs. Check the following links for context: - Langchain Explanation on what it is: https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T - First post l saw talking about this was by Andrej Karpathy (@karpathy): https://x.com/karpathy/status/1937902205765607626 - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !: https://x.com/MaryamMiradi/status/1940810454013518178 #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling

NVIDIA's Nemotron family delivers enterprise-grade multimodal AI models designed for complex reasoning tasks across scientific research, advanced mathematics, coding, and visual analysis. The lineup includes three variants optimized for different deployment scenarios: Nano for edge computing and cost-sensitive applications, Super for single-GPU workloads balancing performance and efficiency, and Ultra for maximum accuracy in data center environments. Unlike many AI models with restrictive licensing, Nemotron offers commercial viability with an open license that allows organizations to customize the models while maintaining control over their data and deployments. #Nemotron #NVIDIANemotron #NVIDIA #MultimodalAI #EnterpriseAI #AICoding #AIScience #AIReasoning #OpenSourceAI #EdgeAI #ComputerVision #AIModels #MachineLearning #ArtificialIntelligence #TechInnovation https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1 https://github.com/NVIDIA/GenerativeAIExamples

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/

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