6). rStar-Math – a new approach proposes three core components to enhance math reasoning: 1) a code-augmented CoT data synthesis method involving MCTS to generate step-by-step verified reasoning trajectories which are used to train the policy SLM…
CODE
-
Dijkstra on Abstraction Precision in System Design
By
–
"The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise." — Edsger Dijkstra
-
Reproducible Builds on Android, iOS Push Needed
By
–
Hey there, just so you have good info, we have repro builds on Android, where such are possible. We invite others to join us in pushing Apple to make them possible on iOS. Our desktop team has also made changes to local storage over the last months (which doesn’t mean any
-
APIs: Connecting ML Models and Data in Production
By
–
When we talk about building powerful machine learning solutions, like large language models or retrieval-augmented generation, one key element that often flies under the radar is how to connect all the data and models and deploy them in a real product. This is where APIs come in.
-
Developing LLM Partnership for Zero Shot Code Generation
By
–
https://t.co/oyORhKI2ns pic.twitter.com/mL5cNcQ1VG
— Varun Mayya (@waitin4agi_) 12 janvier 2025People use LLMs as if they are on one night stand I use LLMs as if it is my partner This is why me and Claude have grown together to develop a better understanding on how to 0 shot the requirements and the corresponding code
-
Building Software vs Coding in the Autocoding Era
By
–
there’s a subtle difference between building software and writing code. Those who understand the difference will survive the autocoding era.
-
AI21 Labs Launches Free Jamba Long Context Course with Andrew Ng
By
–
We’re excited to announce that our new course, ‘Build Long Context AI Apps with Jamba’, built in partnership with @AndrewYNg @DeepLearningAI is now live – and it’s currently free! In this course, Chen Wang and Chen Almagor from AI21 Labs will walk you through how to use
-
APIs 101: Concept to Deployment for AI Engineers
By
–
New video! APIs 101: From Concept to Deployment for AI Engineers In this one, we’re diving into the world of APIs — what they are, why you might need one, and what deployment options are available. Learn more in the video: https://
youtu.be/5atR70lV1fs Let me know your thoughts on -
Documentation as Diagram: Code-Based Technical Documentation Tutorial
By
–
GitHub – r0mymendez/diagram-as-code: A tutorial on how to create a documentation project using the 'Doc as diagram' methodology https://
bit.ly/3D9Wtv6
#AI #MachineLearning #DeepLearning #LLMs #DataScience