Skip to content
View jocerfranquiz's full-sized avatar
Learning low-level LLMs
Learning low-level LLMs
  • Near the Pacific Ocean

Block or report jocerfranquiz

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jocerfranquiz/README.md

Currently working with

  • Azure, Databricks, Python
  • Relational/NoSQL/Graph databases
  • Preparation of Data platforms for AI
  • Big Data & Analytics

Learning more about

  • Low-level programming
  • Reinforcement Learning
  • Automation
  • Low-level small language models

Find me as @jocerfranquiz on Twitter

Pinned Loading

  1. haku haku Public

    Private semantic searcher. Open-Source and local RAG architecture.100% Python + SQLite

    Python

  2. kompile kompile Public

    A minimalist C compiler wrapper with auto-execution

    Shell

  3. kladia kladia Public

    A simple and minimal graph library

    Python 1

  4. codex-agentica codex-agentica Public

    A Naturalist's Field Guide to the Species & Strategies of Large Language Model Agents

    HTML

  5. python-opengl-framework python-opengl-framework Public archive

    Repo for code and excersices from the book *Developing Graphics Frameworks with Python and OpenGL*

    Python

  6. cloud-architecture-distilled cloud-architecture-distilled Public

    This reference distills the architecture into fourteen components and sixty-five distinct types, and shows you the canonical equivalents in AWS, Azure, GCP, and the open-source ecosystem.

    HTML