Yes it's kind of redacting the model's weights in a way
CODE
-
Language reasoning system advances combinatorics
By
–
We love combinatorics! I shared some info here on our language reasoning system
-
Upload Datasets Directly in Cohere Dashboard UI
By
–
Did you know that you can upload datasets directly from our Dashboard in the UI?
— Cohere (@cohere) 25 juillet 2024
Datasets allows you to upload, download, manage and interface with your data on Cohere's platform for a variety of downstream tasks.
Try it here: https://t.co/1CzqSN61Rh pic.twitter.com/fXbREM0BPQDid you know that you can upload datasets directly from our Dashboard in the UI? Datasets allows you to upload, download, manage and interface with your data on Cohere's platform for a variety of downstream tasks. Try it here: https://
dashboard.cohere.com/datasets -
Databricks Launches Mosaic AI Agent Framework and Evaluation Tools
By
–
At #DataAISummit, we launched the public preview of Mosaic AI Agent Framework & Agent Evaluation.
— Databricks (@databricks) 25 juillet 2024
These tools are designed to help developers build and deploy high-quality Agentic and Retrieval RAG applications. See how 👇https://t.co/Xj7k6SgnIK pic.twitter.com/nMVC3YVEnLAt #DataAISummit, we launched the public preview of Mosaic AI Agent Framework & Agent Evaluation. These tools are designed to help developers build and deploy high-quality Agentic and Retrieval RAG applications. See how https://
dbricks.co/3SfYBX5 -
LeanDojo: Open-Source Framework for Lean and LLMs
By
–
https://t.co/yYKUrhx7UG was the first open-source framework that combined Lean with LLMs. We have also released Lean co-pilot to help you write proofs in Lean. The benefit of Lean is 100% accuracy and no hallucination in generated proofs. https://t.co/CWwYulnvFc https://t.co/BMxK3cio1l
— Prof. Anima Anandkumar (@AnimaAnandkumar) 25 juillet 2024https://
leandojo.org was the first open-source framework that combined Lean with LLMs. We have also released Lean co-pilot to help you write proofs in Lean. The benefit of Lean is 100% accuracy and no hallucination in generated proofs. https://
github.com/lean-dojo/Lean
Copilot
… -
Neuro-symbolic AI: Language Models and Symbolic Reasoning
By
–
Neuro-symbolic paradigm strikes again! If in #AlphaGeometry, the creative language model (System 1) suggests insights for the reliable symbolic engine (System 2) to complete a proof, we see that pattern again in #AlphaProof. The language model suggests key proof steps in a
-
Building Generative AI Application Platforms: Common Components
By
–
Building a platform for generative AI applications https://
huyenchip.com/2024/07/25/gen
ai-platform.html
… After studying how companies deploy generative AI applications, I noticed many similarities in their platforms. This post outlines these common components, what they do, and implementation -
AlphaZero-Based System for Automated Mathematical Theorem Proving
By
–
Not at this point. It builds on AlphaZero, which does have a paper: https://
arxiv.org/abs/1712.01815 It uses the Lean theorem proving system as the way of expressing the theorems and proofs: -
Three Sources of Error in Synthetic Data Training Generations
By
–
4/ There are three sources of error that accumulate from successive generations of synthetic training 1) statistical approximation error
2) functional expressivity error
3) functional approximation error Roughly speaking, each time you train the model on data generated from the -
Daily Content on Python, Data Science, Machine Learning and MLOps
By
–
That's a wrap! If you are interested in any of these topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.