Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
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github.com
Track, log, visualize and evaluate your LLM prompts and prompt chains.
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A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
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Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
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A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
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C, C++, and Python tools for named entity recognition and relation extraction.
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OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
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CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
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Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
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Fast and simple framework for building and running distributed applications.
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An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
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Open-source SDK for running LLMs and multimodal models on-device across iOS, Android, and cross-platform apps.
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Simple and efficient library to minimize expensive and noisy black-box functions.
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An open-source tool for recording screen and audio activity with AI-powered search, automations, and support for local LLMs. opensource.
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Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
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A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.
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Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
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Build and control your personal LLMs with fast and efficient fine-tuning.
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A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Open-source Python library enabling ML model inspection and interpretation.
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An open source Python library focused on outlier, adversarial and drift detection.