This is incredible! What is the performance like? Is 4-bit compression too much, even for more generic use cases?
CODE
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Mixtral vs GPT-3.5: LangChain Integration Performance Comparison
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LangChain x Mixtral x TogetherAI This community blog post takes a deep dive into comparing Mixtral performance vs GPT-3.5 on 15 questions of reasoning, logic, and coding Great example of how to use it in LangChain via @togethercompute Blog:
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Platform Release: AI Building Tools and Azure ML Deployment
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Our final platform release of the year is here with enhancements for #AI builders, operators, and more! Build binary and regression projects on up to 20GB of connection or URL-sourced datasets. Automated deployment and replacement of Scoring code in #AzureML is now
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Three Levels of Building AI Agents Explained
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3 Levels of Building Agents A great article by @LucasEnkrateia goes over how to build agents in three levels of abstraction: From Scratch
OpenAI function calling
LangChain Check it out here: -
GradCAM: Understanding Neural Network Interpretability in Computer Vision
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💡New Blog Alert 💡https://t.co/g2e7fLJ6tx
— Satya Mallick (@LearnOpenCV) 28 décembre 2023
GradCAM, an acronym for Gradient-weighted Class Activation Mapping, is a significant breakthrough in computer vision and neural network interpretability.
As AI and machine learning systems, particularly Convolutional Neural Networks… pic.twitter.com/7umtorXwsENew Blog Alert https://
learnopencv.com/intro-to-gradc
am/
… GradCAM, an acronym for Gradient-weighted Class Activation Mapping, is a significant breakthrough in computer vision and neural network interpretability. As AI and machine learning systems, particularly Convolutional Neural Networks -
Two Engineers Build Bespoke LLM for Auto-Generated Documentation
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What do you get with two engineers, one month, and less than $1000? A bespoke LLM for AI-generated documentation ⭐
— Databricks (@databricks) 28 décembre 2023
Our #AI-generated documentation feature uses #LLMs to automatically generate documentation for tables and columns in #UnityCatalog👇https://t.co/BbVRgAdMkX pic.twitter.com/NFMSrpJTvDWhat do you get with two engineers, one month, and less than $1000? A bespoke LLM for AI-generated documentation Our #AI-generated documentation feature uses #LLMs to automatically generate documentation for tables and columns in #UnityCatalog https://
bit.ly/3N6Uwll -
Code Dependent Book Preorder Now Available
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Oh, this looks good! Preorder here: https://
panmacmillan.com/authors/madhum
ita-murgia/code-dependent/9781529097306#:~:text=Throughthevoicesofordinary,communitiesandourwidersociety
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Customizing LangChain with Neo4j for Advanced RAG Systems
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Customized LangChain @neo4j Integration If you want to build advanced RAG, you probably need to know how to customize any off-the-shelf guide to your use case @tb_tomaz dives deep on how to do this with Graph DBs like Neo4j Blog: https://
github.com/langchain-ai/l
angchain/pull/15084
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ResearchPlot: AI-Powered Scenario Analysis and Flowchart Generation
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ResearchPlot This project aims to understand the user's scenario, ask relevant questions, and generate a flowchart for clear and concise representation of the findings Helpful for rubber-ducking with yourself! Code: https://
github.com/PratikSingh121
/ResearchPlot/blob/main/readme.md
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Create Customized Chat Bots with LangChain Framework
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[Community Spotlight] Create Your Customized Chat Bot with LangChain The most prevalent UX for LLM applications is chat. This blog walks through all the steps needed to create a customized Chat Bot Blog: https://
medium.com/@akturkrehsan/
create-your-customized-chat-bot-with-langchain-41be6b928428
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