Build a serverless AI chat with RAG using LangChain.js This shows how LangChain.js, Ollama with Mistral 7B model and Azure can be used together to build a serverless chatbot that can answer questions using a RAG pipeline https://
techcommunity.microsoft.com/t5/apps-on-azu
re-blog/build-a-serverless-ai-chat-with-rag-using-langchain-js/ba-p/4111041
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TOOLS
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Build Serverless AI Chat RAG LangChain.js Azure
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Making Unreliable AI Algorithms Work Practically
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We can also figure out how to get useful results out of inherently unreliable algorithms – it's definitely possible, I've been finding useful ways to put this stuff to work for a couple of years now
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Grok AI Auto-Generated Summary Review and Analysis
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I like the Grok @X auto-generated summary.
I previously wrote a more in-depth review at Ground Truths (see profile) -
Agent Quality Breakthroughs and Automated AI Testing Loops
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Folks, agent-based models have been a staple of social science for a long time. The idea of using simulated agents is not that big of a deal. The breakthrough is a potential big jump in agent quality and the addition of automated testing loops, including AI hypotheses testing.
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Open Models and Efficient Hardware Making AI More Accessible
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"The combination of powerful open models like LLaMA and highly efficient “AI-first” inference hardware like Groq’s could make advanced language AI more cost-effective and accessible to a wider range of businesses and developers." – @MichaelFNunez
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Voice Notes App Transcribes to Podcast-Like Format
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It’s so interesting how it listens like a podcast when it plays through. Even though it’s just threaded voice notes to each other with pretty accurate transcription. pic.twitter.com/RN3qSPtkTh
— 🖤 Christine (@christinelu) 20 avril 2024It’s so interesting how it listens like a podcast when it plays through. Even though it’s just threaded voice notes to each other with pretty accurate transcription.
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Chat with PDFs Using Local LLMs and Ollama RAG
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How to chat with your PDFs using local Large Language Models [Ollama RAG] Covers loading PDFs with Unstructured, splitting that text data with RecursiveCharacterTextSplitter, creating embeddings with Ollama https://
youtube.com/watch?v=ztBJqz
BU5kc&t=1s
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Explore AI Tools Through daansan_ml’s Articles
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Check out @daansan_ml
's articles for more information on AI tools -
Vector Space Mapping for Semantic Search and Fuzzy Matching
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Similar concepts are mapped to nearby points in the high-dimensional vector space, enabling fuzzy matching and retrieval based on conceptual relevance rather than just keyword matching.
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Vector Databases: Storing High-Dimensional Data Embeddings
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What is a vector databases? A vector database is a database system designed to store and search high-dimensional vector representations of data, such as text embeddings produced by large language models.