christian

i live in sf and work at prime intellect. currently working on environments, training models, and building the best end to end training stack.

github / twitter

blog

• breakdown of the grpo objective
• kv cache, post training, and hardware aware algos
• llm evalulations
• utilizing vector embeddings
• ai from first principles (talk)

projects

• kerneltune - training models to write performant triton kernels, dataset and model
• laughloop - continuous learning or something
• pip install chatan - use chatan to quickly create synthetic datasets for finetuning with llm generators and class sampling
• realtime omni - omni/multimodal inference server with qwen 2.5 omni or phi 4 multimodal. text-to-text, text-to-speech, audio-to-text, audio-text-to-text, image-text-to-text, audio-text-to-speech
• audio-llama - multimodal adapter for llama to enable paired text+audio inputs
• realtime speech-speech inference - fast stt+chat+tts
• ai notebook - cursor-esque flow in a modern notebook interface
• llm evaluator - prompt+model evals, dual chat comparison, more
• dialstructure - audio transcription, diarization, summarization, classification
• groq-nvim plugin - ai code gen in vim