a new systematic framework, autonomous Machine Learning Research with large language models (MLRCopilot), designed to enhance machine learning research productivity through the automatic generation and implementation of research ideas using Large Language Model (LLM) agents.
CODE
-
MLR-Copilot: Autonomous Machine Learning Research with LLM Agents
By
–
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents https://
github.com/du-nlp-lab/MLR
-Copilot
… https://
arxiv.org/pdf/2408.14033 -
Backpropagation Support and Use in Neural Network Research
By
–
But it both supported and used backprop, as it said right in the paper.
-
Leveling Up Diagram Generation with Claude and Mermaid
By
–
I’ve been loving asking Claude to generate mermaid artifacts and iterate via chat. gotta level up your diagram game
-
Single Agent Systems Easier to Deploy Production
By
–
I too find single agent based systems much easier to reason about, tune, and deploy. As context windows get longer, seems like a better way to get things into production.
-
Llama 3.2 11B Vision Model Demo on Hugging Face Spaces
By
–
Here is the link for 3.2 11B using @FireworksAI_HQ API: https://
huggingface.co/spaces/akhaliq
/llama-v3p2-11b-vision-instruct
… built with claude sonnet in a few mins pip install gradio build with gradio -
Microservices Approach for Query Optimization and Reusable Functions
By
–
I’ll probably do another post on it, but with this system, I think you want a micro service inspired approach where every query gets broken down into reusable functions first and then wrapped in a function that uses those. Overtime, you should have to create less low-level
-
LLM-Weighted Function Selection for Advanced AI Systems
By
–
Log every function call, store success/error, rate result with LLM, use that to add weights to functions, use weights when calling functions. Advanced methods might include embedding user input and somehow calculate a weight specific to the embedding (is this the right tool for
-
Function Creation Complexity and Multi-Agent Consensus Approaches
By
–
I tried to keep this high-level but the “Create Function” step to get past level 1 is really complicated and there are tons of approaches/tricks here. Curious about your multi agent consensus.