If you liked @sbusso
's GitHub repo of "Awesome LangChain projects"…. then you'll love his new weekly newsletter recapping all the awesome LangChain projects/related news that happened that week! https://
awesomelangchain.substack.com
LLMS
-
New LangChain Weekly Newsletter Recaps Projects News
By
–
-
Foundation Models Enable Automatic Curriculum Learning in RL
By
–
RL is too difficult to learn from scratch. The future is large foundation models with world knowledge helping with automatic curriculum generation and online learning
-
LLM Evaluation and Benchmarking: Critical Missing Piece
By
–
Eval and good benchmarking for LLMs is one very big piece missing right now.
-
Guide to AI Newsletter: Policy, LLM Research, and Startup Activity
By
–
Tomorrow’s issue of @guidetoai newsletter w/
@osebbouh is particularly rich in AI policy commentary…will AI exterminate the planet or not…and the latest LLM research and real-world product implementations. In addition to the usual summary of startup activity too 🙂 Sign -
Neural Networks for NLP: Carnegie Mellon Course Overview
By
–
Neural Nets for NLP – Carnegie Mellon This is a great course that covers neural networks techniques and algorithms for natural language processing. Covers neural network architectures for language modelling such as recurrent networks and transformers, tips and tricks for
-
LangChain SF Meetup: Open Source LLMs Focus
By
–
Lots of excitement around open source LLMs. VERY excited to announce our next @langchain meetup in SF will be focused on exactly that! Excited to be joined by @MichelTricot @lm_zheng @robertnishihara and @charles_irl for some fun presentations
-
Sentence Similarity: Embeddings and Cosine Distance Explained
By
–
Check out this blog post by Luis Serrano on sentence similarity! He dives into the importance of embeddings in large language models & explains dot product and cosine similarity. Add some excitement to your tech reads! Read more:
-
GPT-4 AutoCodePro generation costs around 8-9 dollars
By
–
if your autocodepro generations are failing and you're using your own OpenAI key, make sure you have some tokens available. ~8-9$ per GPT-4 generation (roughly).
-
AI Model Efficiency Growth and the Containment Challenge
By
–
GPT-3-175B is almost 3 years old. Today a 3B model – 60x smaller – can achieve comparable performance. What happens if today's cutting edge models are on that trajectory? …they will proliferate far and wide… this is the containment problem in a nutshell
-
Groq Spotlight: AI Inference Discussion Recording Available Now
By
–
If you missed our #GroqSpotlight: Quenching AI Thirst with Inference last week, view the recording for insights from our #LLM discussion. https://
youtube.com/live/YiYwn4b4K
jc?feature=share
…