Awesome

ChadGPT

OpenAI GPT Link

ARCHIVE

Run llama.cpp distributed over MPI

Centeral Iowa Linux Users Group <br> 19 April 2023 <br>

News for April 2023

• CFP open for 2023 Linux Plumbers Conference (November 13-15, Richmond VA, USA)

• Kernel Samepage Merging patch set

• Python 3.12 support for perf tool.

• Chrome ships WebGPU

• StableLM released today.

• Rust foundation meltdown - Primeagen stream - Oxide Computer discussion

Presentation: Self-hosting large language models

• What is a large language model(LLM)?

• What can I do with a LLM?

• Run your own LLM - llama.cpp and web-llm

What is a large languge model (LLM)?

• A LLM is a data structure. Given k tokens, it outputs the probability of the next token.

• ChatGPT4 is approching Library of Congress training size. We are running out of data.

• New data will probably come from reflection - prompting an LLM with it's own output for deeper insight.

• BabyGPT - a three bit LLM

• Tokenize - Train - Infer trained model - Quantize model to shrink size

• OpenAI TickToken - high performance tokenizer.

• LLM Training can cost millions - OpenAI burned spare GPU at Azure WDM after Bitcoin crash as tax writeoff.

• LLM training and inference involve mostly tensor (matrix) operations.

• Cerebras wafer scale chips - Tenstorrent accelerator chips

• Once you have a LLM - fine-tuning can cost as low as $3

• vast.ai - lambdalabs - Google Colab Notebooks

• PicoGPT

• NanoGPT - video tutorial

What can I do with an LLM?

• ChatGPT4 Demo - GitHub Copilot demo if you want

• whisper.cpp - use OpenAI whisper to transcribe audio to text - WANTED live transcription for meetings.

• AutoGPT - BabyAGI - use GPT and scripts to drive other GPTs and scripts.

• Reddit GPT has good weekly briefings.

Run your own LLM - llama.cpp and web-llm

• llama.cpp - a fork of whisper.cpp - most widely used C++ code to host your own LLM.

• Huggingface - stores open models as Git LFS.

• web-llm - uses WebGPU to run in the LLM in your browser.

Linux Predictions

• Linux 7 will have a LLM of various sizes and an SMT solver to prove responses correct.

• CGROUPS3 - closer to AWS Zelkova and AWS IAM

• Kernel LLM will be used as a dictionary for data compression.

• Oxide Computer size racks will have distrubuted linux schedulers. Kubernetes goes extinct.

• More systems code like compilers will run on GPU.