language-model

The "tl;dr" on a few notable transformer papers (pre-2022).

ChatPDF-GPT is an innovative chat interface application powered by LangChain and OpenAI, allowing users to upload and chat with PDF documents, stored in Pinecone vector database and Supabase storage.

Interpret text data with LLMs (sklearn compatible).

An opensource speech-to-text software written in tensorflow

An open-source no-code tool for teams to collaborate on building, evaluating, and hosting applications leveraging GPT and other large language models. You could easily build and share LLM-powered apps, manage your budget and run batch jobs.

Official codebase for "Next-Latent Prediction Transformers Learn Compact World Models"

Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper

A Greek edition of BERT pre-trained language model

Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.

An all-new Language Model That Processes Ultra-Long Sequences of 100,000+ Ultra-Fast

A private, modular node based AI workspace for thinking and creation. Seamlessly connect to Ollama, OpenAI, Gemini, Anthropic, and Groq models in one unified, node-based interface for reasoning, visualization, and exploration — all running locally or via API.

Implementation of Toolformer: Language Models Can Teach Themselves to Use Tools

This AI Does Not Exist: generate realistic descriptions of made-up machine learning models.

A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users

[ICLR 2023] Multimodal Analogical Reasoning over Knowledge Graphs

Simple Implementation of Pix2Seq model for object detection in PyTorch

FACET (Feature‑Aware Contracted Extension for Text) is a human‑readable, machine‑deterministic markup language for AI prompting, orchestration, and tooling

Camoscio: An Italian instruction-tuned language model based on LLaMA

Rails Engine with MCP compliant Spec.

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining