Very excited to be bringing our models to Snowflake customers as part of this multi-year partnership. LLMs become all the more interesting when contextualised on data, and we’re eager to see developers create powerful applications combining Mistral models with the Data Cloud.
LLMS
-
New Book: Generative AI with LangChain for LLM Applications
By
–
[New Book!] #GenerativeAI with #LangChain — Build Large Language Model (LLM) apps with #Python, ChatGPT, and other #LLMs: http://
amzn.to/3tiDk60 by @benji1a via @PacktPublishing —————
#AI #DeepLearning #MachineLearning #NLProc #GPT4 #Chatbot #DataScientists #Coding #DataScience -
Fine-tuning and Structured Generation for Reliable JSON Output with LLMs
By
–
Fine-tuning + structured generation = improved #JSON generation with #LLMs! Check out our blog and benchmarks to learn how you can reliably output JSON with open-source frameworks #LoRAX and #Outlines, and Predibase.
-
Claude 3 Impresses with Advanced Writing Style Mimicry
By
–
My team continues to be mindblown today at how good Claude 3 is at mimicking writing voice and style Cc @AnthropicAI
-
Opus Production Issues: Unexpected Sonnet Callbacks Reported
By
–
We're still resolving some issues with Opus on production alongside @AnthropicAI
. You may see unexpected Sonnet callbacks without exceeding limits due to Opus timeouts. This will improve over the coming days! -
Claude-3 Models Add Vision Capabilities to LangChain
By
–
Anthropic Multimodal Inputs @AnthropicAI
's state-of-the-art new Claude-3 models can reason about images as well as text! We've added support for this awesome new capability in LangChain, allowing you to create vision-based AI apps. Bump to the latest -
Claude is Code: Debunking AI Misconceptions for Healthier Discussion
By
–
AI/Claude is cool of course but it is not human (despite its name), it's a bunch of lines of code and probabilistic algorithms trained on datasets behind an API to take an input and generate an output. Let's please all remember this for healthier debates and less fear-mongering!
-
Quick Start Guide to Large Language Models Strategies and Best Practices
By
–
Quick Start Guide to Large Language Models — Strategies and Best Practices for Using #LLMs: http://
amzn.to/4awUGN5
—————
#BigData #DataScience #AI #NLProc #GPT3 #GPT4 #GPT5 #NeuralNetworks #DeepLearning #MachineLearning #Algorithms #ArtificialIntelligence #GenerativeAI #GenAI -
Long Context RAG Design with RAPTOR and Claude 3
By
–
Building long context RAG from scratch with RAPTOR + Claude3 (Video) The rise of long context LLMs + embeddings will change RAG design. Instead of splitting docs + indexing doc chunks, it's feasible to index full docs. But, there is a challenge to flexibly answer lower-level
-
Claude 3 outperforms GPT-4 for copywriting editing tasks
By
–
Holds up. From my tests, Claude is about on par with GPT-4. Some tests GPT-4 did better, some Claude won. Specifically for editing copywriting though, Claude 3 is significantly better (which is my biggest use case)