What does ChatGPT know about you?
LLMS
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NVIDIA TensorRT-LLM Integration Boosts Inference Performance
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We've been collaborating with @nvidia to integrate TensorRT-LLM with our inference service, and the results are exciting! Using TensorRT-LLM, we can deliver a significant improvement in both time to first token and time per output token. https://
bit.ly/3Hd7vyR -
Chat LangChain.js: Open-Source RAG Chatbot Framework
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Chat LangChain.js Have questions about LangChain.js? Or looking to build your own RAG chatbot in JavaScript? We've open-sourced a fully @nextjs version of Chat LangChain that ingests and indexes the LangChain.js docs! The live version supports GPT 3.5 + @MistralAI
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LangChain Chat JavaScript Source Code Repository
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See the source code here: https://
github.com/langchain-ai/c
hat-langchainjs
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Groq CEO Jonathan Ross Explains LPU Inference Engine to CNN
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CEO & Founder, Jonathan Ross, explains how the #Groq #LPU ™ Inference Engine operates, as CNN's Becky Anderson converses with the incredible technology. https://
hubs.ly/Q02l57770 -
Mixtral 8x7B Instruct Model Performance Analysis and Pricing Comparison
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See https://
artificialanalysis.ai/models/mixtral
-8x7b-instruct
… for a full breakdown, including throughput, latency and pricing, with analysis of variance, performance over time and comparison to other API providers. -
Upstage Layout Analysis Improves RAG Performance Significantly
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If you're doing the RAG, check out @upstage
's Layout Analysis (LA) at https://
upstage.ai. With or without LA, your RAG performance will differ significantly . -
LLM Hallucinations: Understanding and Preventing Convincing AI Errors
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What are LLM hallucinations, and why can they be so convincing? We sat down with Google Research's Ray Kurzweil to discuss LLM hallucinations and what can be done to prevent them. Check it out ↓ pic.twitter.com/Qu4qMBC6Yc
— Google AI (@GoogleAI) 14 février 2024What are LLM hallucinations, and why can they be so convincing? We sat down with Google Research's Ray Kurzweil to discuss LLM hallucinations and what can be done to prevent them. Check it out ↓
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Serverless LLM Apps Course with Amazon Bedrock
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New short course on Serverless LLM apps with Amazon Bedrock, taught by @AWS' @mikegchambers! A serverless architecture enables you to quickly deploy your applications without needing to set up and manage compute servers to run your applications on, the maintenance of which can be… pic.twitter.com/cTo8Y6qppz
— Andrew Ng (@AndrewYNg) 14 février 2024New short course on Serverless LLM apps with Amazon Bedrock, taught by @AWS
' @mikegchambers
! A serverless architecture enables you to quickly deploy your applications without needing to set up and manage compute servers to run your applications on, the maintenance of which can be -
Query Translation Multi-Query Techniques for RAG Systems
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RAG From Scratch: Query Translation (Multi-Query) Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. Over the next few days we'll release videos focused on Query Translation, starting with Multi-Query. Problem: User queries