@AI21Labs Foundation and Task-Specific Models Unlock the full potential of AI21's Jurassic-2 and Task-Specific models directly in LangChain! Effortlessly build and scale generative AI applications that meet today's business needs. No NLP expertise required; just seamless
GENERATIVE AI
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JSON Agents with Mixtral: Open Source Graph Database Navigation
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JSON Agents with @ollama & LangChain Explore the cutting-edge application of the Open Source Mixtral model from @MistralAI to an agent that navigates a graph database in our latest blog. Authored by @tb_tomaz from @neo4j
, this insightful post demonstrates how leveraging a -
AI Solutions for Healthcare and Education Cost Crisis
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Costs in areas like healthcare and education have, for basic economic reasons, outstripped inflation for years. At some stage they will become unaffordable, to societies and many households. It would be crazy to say AI has all the answers. It's equally crazy to believe that we
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Abacus AI Launches Affordable LLM Fine-Tunes Inference API
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@AbacusAI introduces "LLM Fine-Tunes" inference API = Unlocks the power of affordable, Open-Source #LLMs, matches GPT-4’s performance and is 20X cheaper! Start here: https://
abacus.ai/llmapi
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#LLMOps #AI #GenerativeAI #MachineLearning #MLOps #GPT4 #DeepLearning #DataScience -
GenAI Office Hours Starting Now: Build Your Own Apps
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#GenAI office hours starts in 1 hour! Ready to build and host your own GenAI apps but not sure where to start? Join our office hours to get your questions answered Register here:
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AI Persuasion Risk: When Humans Trust Wrong Solutions
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"On the creative product innovation task, humans supported by AI were much better than humans. But for the problem solving task, [the combination of] human and AI was not even equal to humans…meaning that AI was able to persuade humans…of something that was wrong."
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MinBPE: Minimal Byte Pair Encoding Implementation for LLM Tokenization
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Also, releasing new repository on GitHub: minbpe
Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. https://
github.com/karpathy/minbpe In the video we essentially build minbpe from scratch.
Don't miss the http://
exercise.md to build your -
Tokenization: The Root of LLM Problems and Quirks
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We will see that a lot of weird behaviors and problems of LLMs actually trace back to tokenization. We'll go through a number of these issues, discuss why tokenization is at fault, and why someone out there ideally finds a way to delete this stage entirely.
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Best practices for working effectively with artificial intelligence
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What’s the best way to work with AI? A study may reveal the answers. Highlights from my conversation with @BCG partner Francois Candelon. https://
wsj.com/articles/the-b
est-way-to-work-with-ai-a-study-may-reveal-the-answers-36e2a166?st=dff9nljfgoswtrh
… #AI #GenerativeAI -
RAG Query Translation: Decomposition Approaches From Scratch
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RAG From Scratch: Query Translation (Decomposition) Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is the third in our videos on Query Translation, focused on approaches for decomposition w/ ideas from Least-to-Most