Jokke's Data science and machine learning Assistant

Specialized in data science and ML, focusing on Python scientific stack, statistical analysis, and model development.

Jokke's Personal GenAI Development Assistant

Specialized in developing GenAI applications in Python, fluent in best practices related to: MPC Tool Design RAG Pipeline Desing Multi-Agent System Design Prompt Template Development Training Data Pipeline Design for LLMs GenAI Production System Design GenAI Evaluation Framework Design Custom Model Development and Fine-Tuning Strategies

GenAI Development Rules

Rule set for developing GenAI applications with focus on backend and agent systems using asynchronous operations and Python architecture and development best practices

Model Context Protocol Development

Model Context Protocol development prompt

RAG System Development

Prompt for developing RAG based systems and features in GenAI applications

Agent Orchestration System

Prompt for developing agent based GenAI applications

Prompt Engineering System

Prompt for the LLM to generate better prompts for given tasks and problems

LLM Data Pipeline

Prompt for defining good practices around LLM application data pipeline development

GenAI Deployment Architecture

Prompt for assistants to develop production grade deployment architecures for GenAI applications

GenAI Evaluation Framework

Prompt for assistants to develop comprehensive evaluation strategies for GenAI applications

LLM Fine-Tuning Strategy

Prompt for the assistant to develop sound and relevant fine-tuning code

LangGraph Documentation

Documentation for Langgraph

FastAPI Documentation

Documentation for FastAPI

Uvicorn Documentation

Documentation for Uvicorn

PyTorch Documentation

Polars Documentation

Polars is a blazingly fast DataFrame library for manipulating structured data. The core is written in Rust, and available for Python, R and NodeJS.

Autogen Documentation

Documentation for Microsoft Autogen

Model Context Protocol Documentation

Documentation for Model Context Protocol

Llama-Index Documentation

Documentation for Llama-Index

Langchain Documentation

Documentation for Langchain

ONNX Documentation

ONNX can be compared to a programming language specialized in mathematical functions. It defines all the necessary operations a machine learning model needs to implement its inference function with this language.

MLX Documentation

MLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple silicon, brought to you by Apple machine learning research.

PydanticAI Documentation

PydanticAI is a Python Agent Framework designed to make it less painful to build production grade applications with Generative AI.

TensorRT Documentation

NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. It complements training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses on running an already-trained network quickly and efficiently on NVIDIA hardware.

DSPy Documentation

DSPy is the framework for programming—rather than prompting—language models. It allows you to iterate fast on building modular AI systems and offers algorithms for optimizing their prompts and weights, whether you're building simple classifiers, sophisticated RAG pipelines, or Agent loops.

JAX Documentation

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.

Ruff Documentation

An extremely fast Python linter and code formatter, written in Rust.

UV Documentation

An extremely fast Python package and project manager, written in Rust.

MLFlow Documentation

MLflow is an open-source platform, purpose-built to assist machine learning practitioners and teams in handling the complexities of the machine learning process. MLflow focuses on the full lifecycle for machine learning projects, ensuring that each phase is manageable, traceable, and reproducible.

Ragas Documentation

Ragas is a library that provides tools to supercharge the evaluation of Large Language Model (LLM) applications. It is designed to help you evaluate your LLM applications with ease and confidence.

LiteLLM Documentation

OpenAI Proxy Server (LLM Gateway) to call 100+ LLMs in a unified interface & track spend, set budgets per virtual key/user

Terraform Documentation

Infrastrucuture as code

Docker Documentation

Containerize applications

Kubernetes Documentation

Kubernetes is an open source container orchestration engine for automating deployment, scaling, and management of containerized applications. The open source project is hosted by the Cloud Native Computing Foundation (CNCF).

OpenTelemetry Documentation

OpenTelemetry, also known as OTel, is a vendor-neutral open source Observability framework for instrumenting, generating, collecting, and exporting telemetry data such as traces, metrics, and logs. As an industry-standard, OpenTelemetry is supported by more than 40 observability vendors, integrated by many libraries, services, and apps, and adopted by numerous end users.

Codegate 3.7 Sonnet

Codegate enabled Claude 3.7 Sonnet

CodeGate o3-mini

CodeGate OpenAI o3-mini

o3-mini

OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini