Read the full report: https://
cursor.com/resources/Comp
oser2.pdf
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Cursor Releases Full Composer 2 Report
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Cursor Introduces CursorBench for Realistic Coding Problem Evaluation
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We describe our internal benchmark CursorBench which represents a more realistic sampling of coding problems. We discuss why we think it is important to include the complex problems software engineers see everyday.
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Composer 2 Uses Continued Pretraining and RL for Coding
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Composer 2 had three main efforts: continued pretraining, reinforcement learning, and benchmark development. The goal of each was to closely emulate the Cursor environment to produce a highly intelligent coding model.
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Continued Pretraining Boosts Downstream Coding Performance
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We show how continued pretraining results in consistent improvements in downstream coding performance.
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Devin Self-Review Feature Catches Multiple Daily Mistakes Effectively
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seriously @walden_yan cooked, this thing legitimately saves my ass 3-8x a day, and yes it sounds weird that devin can catch devin's own mistakes, but this is basically the equivalent of "sleeping on it" and looking at a PR with fresh/more critical eyes. btw you should also see
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50 ML Projects to Understand LLM Transformer Mechanisms
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience -
New Packt Release on Agentic Architectural Patterns for Multi-Agent Systems
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New release from @PacktDataML at http://
amzn.to/3MaHy8T "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" Contents:
GenAI in the Enterprise: Landscape, -
Mathematical Methods in Data Science: Theory and Python Applications
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Mathematical Methods in Data Science — Bridging Theory and Applications with Python: http://
amzn.to/4b7ZYQ4
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#ML #MachineLearning #DataScientist #DataScience #Mathematics #Algorithms -
Internal AI Cheatsheets for Claude Writing Tools
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I just added all our internal cheatsheets at Towards AI in Markdown so Claude can also refer to them when building for us You (or your agents) can use them as well! We basically have 3 main markdown files we use: (1) our AI slop cheatsheet. Incredible for all writing
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ColBERT retrieval model balances performance and computational efficiency
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ColBERT seems to hit a nice sweet spot for retrieval. Easy to train and still gets great results, especially when you don't want to go full cross-encoder compute 🙂