Kristina Liapchin, Lead Product Manager for Snorkel AI, explores how businesses can overcome LLMs deployment challenges + a comprehensive walkthrough of how Snorkel Flow can help. Watch the full video here: https://
youtube.com/watch?v=9Bogri
GCPaM
… #NLP #LargeLanguageModels #EnterpriseAI
LLMS
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Snorkel Flow: Overcoming LLM Deployment Challenges in Enterprise
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Transformers Authors Discuss AI Future with Jensen Huang
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Sakana AI CTO Llion Jones (@YesThisIsLion) will be speaking with NVIDIA CEO Jensen Huang during the “Transforming AI” session at #GTC24 with all 8 authors of “Attention is All You Need” paper, to discuss the future of AI!
— Sakana AI (@SakanaAILabs) 16 mars 2024
Details→ https://t.co/SBXOKBD9MEpic.twitter.com/cx3wj0sKa7Sakana AI CTO Llion Jones (
@YesThisIsLion
) will be speaking with NVIDIA CEO Jensen Huang during the “Transforming AI” session at #GTC24 with all 8 authors of “Attention is All You Need” paper, to discuss the future of AI! Details→ http://
nvda.ws/3SPoTPn -
GPT-4 Class Models Performance Comparison Desert Southwest
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Useful news for time travelers: If you are traveling to the desert southwest in 1945, all the GPT-4 class models will give you good advice, though Copilot is the most charming, Gemini does its typical step-by-step plans, Claude 3 does well, and GPT-4 sees right through my games.
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Building RAG Pipelines with LangChain and Amazon Bedrock
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Building a RAG Pipeline with LangChain and Amazon Bedrock Amazon Bedrock has lots of amazing models available to build LLM applications with This guide walks through *in detail* how to get started with them to build a RAG pipeline https://
gettingstarted.ai/langchain-bedr
ock/
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Building Code Agents: Programming AI Software Engineers
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Webinar Wednesday 3/20: Building Code Agents! Sign up here https://
crowdcast.io/c/codeagents Agents that write and run code are powerful, as Cognition Labs showed with their recent release of Devin, the "AI SWE". But they are complex to program, hard to deploy, and even harder -
Fine-tuning LLMs Workshop at MLOpsWorld SF
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Excited to join @MLOpsWorld SF to lead a workshop on Fine-tuning Your Own #LLMs that Rival #GPT4. Join us to learn the benefits, use cases, and techniques for fine-tuning LLMs and get hands-on with popular open-source frameworks #Ludwig and #LoRAX! https://
pbase.ai/3IANSRU -
LLM-Generated Reviews Outnumber Papers, Lack Scrutiny
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For every paper that is written by an LLM, there are at least ten reviews produced by an LLM. Reviews are far less scrutinized, and there is little actual upside for many reviewers in reading the majority of the papers they review.
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Knowledge Graphs Boost RAG Accuracy with Neo4j LangChain
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Using knowledge graphs to boost RAG accuracy Check out this guide to constructing and retrieving information from knowledge graphs in RAG applications with
@neo4j and LangChain. https://
blog.langchain.dev/enhancing-rag-
based-applications-accuracy-by-constructing-and-leveraging-knowledge-graphs/
… Graph RAG is gaining momentum as a powerful addition to -
Comparison of Claude and ChatGPT for generating logos
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Very curious what Claude is doing differently to achieve this. For comparison, ChatGPT 4 with the same prompt couldn't produce any (non-trivial) logos containing my requested text in 15 attempts — a few representative examples of the failures: