BloombergGPT is a purpose-built 50-billion parameter #LLM trained on a 700-billion token corpus that outperforms similar-sized models in financial #NLP tasks. Join us at https://
future.snorkel.ai for a fireside chat with @gideonmann
, Head of ML Product & Research, @TechatBloomberg
MACHINE LEARNING
-
BloombergGPT: 50B Parameter LLM for Financial NLP Tasks
By
–
-
Mojo Programming Language Achieves 35000x Speedup Over Python
By
–
Here's my conversation with Chris Lattner (
@clattner_llvm
), a legendary engineer, his 3rd time on the podcast. We talk about Modular AI and Mojo, a new programming language that is a superset of Python and can achieve 35,000x+ speed ups over Python. https://
youtube.com/watch?v=pdJQ8i
VTwj8
… -
Equality of Odds in AI and Machine Learning
By
–
Equality of Odds https://
bit.ly/43h7SBn #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Semantic Search Power with OpenSearch and Cohere Embeddings
By
–
5/ Try it out to experience the power of semantic search firsthand. With OpenSearch's scalability and Cohere's high-quality embeddings, the potential for improved text search is boundless. https://
dashboard.cohere.ai/welcome/regist
er
… -
Semantic Search Implementation with OpenSearch and Cohere
By
–
1/ Nabila Abraham introduces a detailed guide on implementing semantic search using OpenSearch and Cohere, a powerful combination for searching large data sets. Follow the link for a comprehensive demo:
-
OpenSearch Vector Search Leverages Cohere Embeddings for Enhanced Relevance
By
–
2/ The demo demonstrates how to leverage OpenSearch's support for vector search and Cohere’s high-quality embeddings to improve text search capabilities. This brings more context and relevance to search results than traditional keyword-based methods.
-
Snorkel Community Meetup: Data Scientists ML Engineers Redwood
By
–
100s of local data scientists & ML engineers
An unofficial cornhole competition
A standup comedy act by Snorkel's own Humza Iqbal
live music, great food, & good vibes only!
We have all the essential ingredients for a fun and exciting in-person meetup in Redwood -
Meta Lattice: New Model Architecture for Enhanced Ads Performance
By
–
Meta Lattice is a new model architecture that improves Meta’s ads systems performance, AI efficiency and enables faster adaptability to the shifting market landscape.
— AI at Meta (@AIatMeta) 2 juin 2023
More on this new work ⬇️Meta Lattice is a new model architecture that improves Meta’s ads systems performance, AI efficiency and enables faster adaptability to the shifting market landscape. More on this new work
-
Model Performance Comparison: Falcon Leaderboard Ranking Analysis
By
–
That's probably not the case! Different models perform well at different things, and the harness is an *average* for a reason. But it's notable just how much effort went into highlighting that Falcon topped said leaderboard.
-
Leaderboard obsession: Why 0.1 point differences mislead AI evaluation
By
–
Leaderboards are *a thing* in *every industry.* I can tell you as a journalist we all have an obsession with leaderboards. But we'll probably hear a lot more going forward about how Model A beats Model B by 0.1 points in this eval model, so A is obviously obsolete.