Literally heavy lifting with subword splits and max_length sets and all
CODE
-
Functional Stack Languages Joy and Factor Explored in Stanford Slides
By
–
Fascinating set of slides by Jon Purdy about functional stack languages such as Joy and Factor. https://
web.stanford.edu/class/ee380/Ab
stracts/171115-slides.pdf
… -
MCP Servers: Convert Specs to Code Functions
By
–
This is an awesome approach to using MCP servers. We need more people to pay attention to this. Basically, convert a MCP spec into code functions, and have the model write code to call the functions, instead of typical tool-caling. I’ve been doing this with Python for a long
-
Leveraging AI Models for Code Generation Over Tool Calls
By
–
This is an awesome approach. I’ve been doing this with python for a long time now. You always want to lean into what the model is good at, and obviously, models have seen far more code than they have tool calls. Plus there are benefits like loops etc!
-
Glean Agent Toolkit: Python Library for Multi-Agent Search
By
–
Build multi-agent systems with powerful search and knowledge! Glean just released the Agent Toolkit, a Python library that lets you add search and knowledge discovery capabilities to your AI agents.
-
MCP Search Tools for Specialized AI Use Cases
By
–
This is cool, MCP search tools that are purpose designed for specific use cases. I can totally see how we also want one for finance, legal, travel, research, everything! Nice work @TheIshanGoswami !
-
Essential Resources for CSS, JavaScript, SVG Web Animations
By
–
If you are working in CSS, JS, SVG, Web based animations you might find this guy's articles to be very useful and interesting.
-
Math Model Training Recipe Released for v2
By
–
We released the entire training recipe for the Math model here (it's the same one we used for the v2):
-
Weekly ML LLMs AI Agents Tutorials and Open Source Repositories
By
–
If you're interested in ML, LLMs, and AI agents and want to receive weekly tutorials and open-source repos, subscribe to AI Engineering (it's free):
