Which response do you like more? ChatGPT is A/B testing response formatting for custom GPTs Never encountered this on the custom GPT before. The only difference is in formatting: Bold items and a URL link.
LLMS
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GPT Store leak reveals new UI and features ahead of launch
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GPT Store leak unveils new UI and features ahead of launch https://
buff.ly/3Hb733W -
Retrieval Augmented Generation: Augmenting LLMs with Memory
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Good morning AI enthusiasts! After a long break – here's the first video of the year! What is Retrieval Augmented Generation (RAG) – Augmenting LLMs with a Memory Learn more in the video: https://
youtu.be/LAfrShnpVIk p.s. the What's AI Podcast is starting again next week! -
Sneak peek at the ChatGPT GPT Store interface
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BREAKING: An early sneak peak on how GPT store would look like. As it appeared for sometime and was gone shortly afterwards
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LangChain v0.1.0 Launches 700 Integrations for Production
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LangChain v0.1.0 Highlight: Integrations With nearly 700 integrations, LangChain makes it easy to get started no matter your tech stack As part of v0.1.0, we've made some changes to the package architecture to make our partnerships more stable and production ready We
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LangGraph Enables Streaming for Language Agent Construction
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Streaming with LangGraph Yesterday, we introduced LangGraph as way to construct language agents as graphs Because this is built on LangChain, it comes with the ability to stream intermediate steps as well as tokens Check it out: https://
github.com/langchain-ai/l
anggraph
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RAG vs Fine-tuning: When to Use Each Approach
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When should you use RAG vs fine-tuning? When you have a custom knowledge base and want a ChatGPT-like interface then RAG makes sense. It has multiple components that can make it tricky to get right but it’s easier to implement than fine-tuning. When you want the model to adapt
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LangChain v0.1.0 Launches with LangSmith Observability Features
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LangChain v0.1.0 Highlight: Observability free LangSmith access code for first 500 redemptions, read below When building complex LLM applications, you're application logic now contains a non-deterministic model at the center of it, often heavily controlling the flow of
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Ultimate ChatGPT: local, multi-AI, free and incredible
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Here is the #Ultimate ChatGPT →
https://
youtu.be/RYFi-haG_dw Imagine a ChatGPT that: Runs locally for maximum security.
Is Multi-AI (GPT-4, Mistral AI, Llama 2…) And on top of that, it's FREE No need to imagine anymore. It's here and it's incredible! -
Building End-to-End GenAI Workflows with RAG and LLMs
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Building a #genAI pipeline? Join this webinar to learn how to: Build an end-to-end #genAI AI workflow with RAG Accelerate the training, fine-tuning, and deployment of LLMs Use enterprise-grade runtimes for gen AI applications Register now: https://
nvda.ws/4apJpho