AI Train2023
Connects a frozen vision encoder to a language model via visual instruction tuning, yielding an open multimodal assistant that follows image-grounded instructions. Released checkpoints span 7B-34B and approach GPT-4V on vision-language benchmarks.
AI Client2023
Translates plain-English questions into pandas/SQL code over CSV, Parquet, and SQL databases, returning tables and charts. Combines LLMs with RAG and a semantic layer so non-coders query data; a Docker sandbox isolates generated code.
AI API2023
Self-hosted gateway putting OpenAI, Claude, Gemini, DeepSeek and 20+ providers behind one OpenAI-compatible endpoint. Adds per-token quotas, channel load balancing and usage billing, so teams or resellers meter keys without sharing upstream credentials.
AI Client2023
Self-hostable chat UI that connects to any LLM and adds Agents, Web Search, RAG, connectors, code execution and image generation. Ships connectors to 40+ sources and deployment guides for Docker/K8s. Best for teams needing private, extensible chat platforms.
MLOps2023
Declarative CLI and library to evaluate and red-team LLM apps: run test cases against prompts and models, compare providers side-by-side, and scan for jailbreaks, prompt injection, and data leaks — with CI/CD and pull-request code scanning built in.
AI Deploy2023
Compiles one LLM into device-native binaries running on CUDA, ROCm, Metal, Vulkan, WebGPU, and CPU — same model from server to browser to phone. On Apache TVM, it ships MLCEngine with an OpenAI-compatible API across Python, JS, REST, iOS, and Android.
Chatbot2023
Wraps a local, OpenAI-compatible inference server in one messages API so you can build private AI apps with no data leaving your network: document ingestion, retrieval with inline citations, and built-in tools (web search, code execution, MCP).
AI Leaderboard2023
Blind side-by-side voting site where users send one prompt to two anonymous chat models, pick the winner, and millions of votes become Elo rankings across text, coding, vision, image, and video. Crowd preference, not static benchmarks, decides the order.
AI API2023
Notebooks and sample apps demonstrating generative-AI workflows on Google Cloud's Vertex AI and Gemini — covering RAG grounding, multimodal demos, function calling, and agent-building examples, with deployment-ready templates for evaluation and production.
MLOps2023
Evaluates and tests LLM apps — RAG pipelines, agents, and workflows — using objective metrics that mix LLM-as-judge scoring with deterministic measures. Auto-generates synthetic test datasets and integrates with LangChain and tracing tools.
MLOps2023
Provides end-to-end observability, evaluation, and optimization for LLM-based applications by tracing model calls, running automated evaluations, and surfacing production metrics. Ships SDKs, broad framework integrations, LLM-as-a-judge metrics, and dashboards to support development, CI, and production monitoring.