Question/Answering systems are a cornerstone use case for #LLMs. Check out this short tutorial from Ludwig hackathon winner, Yogesh Haribhau Kulkarni, to hear how he fine-tuned #Llama2 on FAQ data for Indian tax law to create a #chatbot. https://
pbase.ai/4adtmSW
LLMS
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Fine-tuning Llama2 for FAQ-based Chatbot on Indian Tax Law
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Loading Multiple Models Simultaneously with Llama CPP
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Has anyone tried loading two models into memory w/ llama cpp? Like an 8bit Mistral 7B and a 4bit Mixtral simultaneously.
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Corporate misconception: LLMs are not data analysis tools
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A big corporate misconception of Generative AI: Pre-LLM AI was training models on your data to find hidden insight. Firms are trying to do that with LLMs but they don't really work that way, they aren't analysis tools & your data matters less, they are pre-trained on the internet
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Knowledge Graphs for RAG: Advanced Data Retrieval Course
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Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs… pic.twitter.com/vdJDrldsLE
— Andrew Ng (@AndrewYNg) 13 mars 2024Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs
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AI Companies Neglect Language and Reasoning Benchmarks for Software Optimization
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There are so few benchmarks the AI companies compete on outside of software and general knowledge benchmarks. They also fine tune obsessively to optimize software. Language, turn-taking, logical reasoning, lack of hallucinations, and other critical issues get less clear focus.
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AI Development Bias: Software Engineers Overlook Marketing, Education, Law
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The Law of the Hammer is an issue in AI. The people who build AI are software engineers, and they obsess over the degree to which LLMs can (or cannot) automate software. Meanwhile, entire swathes of larger industries exposed to AI (marketing, education, law) get much less focus.
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Understanding LLMs: Powering Modern AI Chatbots
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What is an LLM? How can they help you? This week #AIDecoded looks at demystifying LLMs, the brainpower behind chatbots like Chat with RTX, and how to put them to use https://
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Groq Integration Brings Insanely Fast LLM Performance to Flowise
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⚡@GroqInc on Flowise
— FlowiseAI (@FlowiseAI) 13 mars 2024
Insanely fast. pic.twitter.com/APCVld6xYX@GroqInc on Flowise Insanely fast.
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Rise of LLMs: Vector Embeddings and Vector Databases in AI
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The rise of #LLMs has made vector embeddings and #VectorDB immensely popular and useful, particularly in #AI, #GenerativeAI, and #LLMOps applications. @bindureddy from @abacusai explains in this “RAG – Vector Retrieval – Comprehensive Study”…
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Chatbots Hallucinate Legal Precedents: Stanford Study Findings
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Chatbots tend to “hallucinate” legal precedents from cases that never happened. How frequently? @StanfordHAI senior fellow Daniel Ho discusses findings from a recent study and concerns about AI over-reliance in the legal context.