fine tuning agents

run-llama/llama_index

Agent

These guide provide an overview of how to use our agent classes.

run-llama/llama_index

Agent

Having proper tool abstractions is at the core of building agentic systems in LlamaIndex. Defining a set of Tools is similar to defining any API interface, with the exception that these Tools are meant for agent rather than human use. We allow users to define both a Tool as well as a ToolSpec containing a series of…

axolotl-ai-cloud/axolotl

Agent

Model-specific quirks, required settings, and known issues. Check this before debugging training failures on specific model families.

axolotl-ai-cloud/axolotl

Agent

Guide for debugging and adding support for new model architectures in axolotl. Based on lessons learned from Gemma4, Gemma3, Qwen2-VL, and other multimodal/MoE models.

axolotl-ai-cloud/axolotl

Agent

Reference for DPO, IPO, KTO, ORPO, and SimPO. For config templates and dataset format examples, see rlhf.qmd. For GRPO, see grpo.qmd. For EBFT, see ebft.qmd.

zorost/AI-Engineering-Lab

Agent

"Hermes" is overloaded, and getting it wrong causes real confusion. In an agents context it refers to two related-but-distinct things from Nous Research.

zorost/AI-Engineering-Lab

Agent

OpenClaw is the personal-AI-assistant track of Week 17: an open-source assistant that runs on your devices and meets you in the messaging channels you already use. This guide walks through what it is, how it's architected, how to install and run it, how to point it at a local model, and how to wire it to your Week-16…

mxslr/mlcraft

Agent

Read-only research agent that finds, reads, and critically appraises academic papers and benchmarks for an ML/AI task. Returns a structured literature brief - SOTA methods, the realistic accuracy/AUC ceiling, dataset pitfalls, and which reported numbers are likely inflated by data leakage or ROI-cropping. Use during…

AMDResearch/ai4science-studio

Agent

Submits a 2-node ORBIT-2 training (AMD Instinct MI355X) with PyTorch profiling and Omnistat user-mode telemetry, waits for completion, and writes manifest.json for downstream subagents.

AMDResearch/ai4science-studio

Agent

Drive omnistat-inspect (PR #271) through the analyze-job phases on the user-mode VictoriaMetrics database, then map findings to the bottleneck taxonomy.

AMDResearch/ai4science-studio

Agent

Independently re-derive the top 2-3 claims from omnistat/claims.json by issuing raw PromQL via curl against the same VictoriaMetrics endpoint, at the finest sampling step. Optionally probe one cheap remedy on a 1-node interactive srun.