Llm Fine Tuning Data

FinetuneDB enables teams to fine‑tune custom large language models with proprietary data. It provides collaborative dataset editing, a prompt playground, human and AI feedback loops, performance metrics, OpenAI SDK integration, and secure, role‑based access.

LiteLLM is an open‑source gateway that unifies access to 100+ LLMs through a single OpenAI‑compatible API, enabling provider fallback, cost tracking, tag‑based budgeting, guardrails, observability, and on‑prem or cloud deployment with a lightweight SDK.

LLM Arena enables users to compare multiple large language models side-by-side, analyzing features like accuracy and capabilities. It supports up to 10 models, facilitating informed decision-making for researchers and developers in selecting the right LLM for their needs.

Latitude offers end‑to‑end observability for LLM deployments, recording inputs, outputs, and context. It enables manual annotations, automated error grouping, continuous evaluation, and prompt optimization with GEPA. OTEL telemetry and SDK integrations support major model providers.

LLMOps Space is a global community for LLM practitioners, offering curated content, discussion forums, event recordings, and resources on production deployment, fine‑tuning, observability, and search optimization, plus networking via Discord and newsletters.

UBIAI fine‑tunes LLMs with classifiers, retrievers, and reasoning. It automates PDF/DOCX labeling, synthetic data, and quality filtering; offers 15‑minute prompt‑level tuning or 2‑4 hour weight training; exports to GGUF, safetensors, or Hugging Face for API or custom deployment.

LLM Price Check aggregates LLM API models and provider details into sortable tables and a cost calculator, showing context windows, input/output cost metrics, and quality indicators to help developers and teams evaluate cost–performance tradeoffs.

llmarena.ai offers side-by-side LLM comparisons across major providers, showing specs like context window, output capacity, modality and routing options. Filters and role-based categories help developers, ML engineers, product managers and researchers select suitable models.

LLM Pulse tracks brand visibility and search presence across LLMs (ChatGPT, Perplexity, Google AI), offering prompt tracking and suggestions, citation analysis, visibility scoring and competitor benchmarking, sentiment and response inspection, plus API and reporting exports.

BenchLLM evaluates language‑model applications via API or CLI, running JSON/YAML test suites with automated, interactive, or custom strategies. It supports OpenAI, LangChain, and any API, detecting regressions, generating reports, and visualizing results for continuous QA.

LM Studio runs open‑source large language models locally on Mac (M‑series), Windows, and Linux, enabling private, offline inference. It offers command‑line and headless deployment, server‑side API, SDKs, a model hub, and LM Link for remote model access.

LLM Pricing Comparison lets developers and businesses compare token costs, context lengths, and modalities for major large‑language models. An interactive calculator estimates application expenses based on input/output token volumes, helping teams budget AI workloads accurately.

Inception Labs' diffusion-based large language models (dLLMs) offer faster, more efficient, and cost-effective text generation than traditional autoregressive models. With built-in error correction, multimodal support, and structured output control, they excel in function calling and complex data ge

dreamlook.ai offers fast, online training and generation for Stable Diffusion 1.5 and SDXL, supporting 1,500 SDXL steps in ~10 min, LoRA extraction, Offset Noise, ControlNet pose control, and a GPU‑free API.

FinNLP offers full pipelines for training and finetuning LLMs in finance.

RunLLM is an AI platform that automates incident investigations by querying observability tools, correlating telemetry, and delivering root-cause analyses. It generates live runbooks and remediation recommendations to accelerate MTTR and create an auditable history of incidents.

Falcon is an open‑source LLM family by the Technology Innovation Institute, spanning 0.09‑180 B parameters. It offers efficient Falcon‑H1 series, Arabic variants, multimodal Falcon‑3, and Falcon‑Mamba 7B, all under permissive licenses.

xTuring is an open‑source framework that lets developers and researchers build, fine‑tune, and deploy LLMs efficiently. It supports LoRA adapters, INT8 quantization, custom datasets, offers CLI and notebooks, and provides a unified API for multiple backends.

Fine-tuner is a no-code platform for building sophisticated AI agents with pre-built templates, step-by-step guidance, and customizable AI agents that can adapt to conversation stages and connect to third-party tools.

MLflow is an open‑source AI engineering platform that tracks LLM and agent execution, monitors performance, cost, and safety, manages prompts, and supports experiment tracking, tuning, and deployment across multiple clouds or on‑premises.

Upstage AI delivers enterprise LLMs and document-processing tools: low-latency and Japan-specific models, PDF/OCR parsing, structured information extraction, centralized search and Q&A with citations, REST/AWS/on‑prem deployment, and team collaboration for review.

LLMWare AI installs a lightweight client on PCs, providing instant access to 100+ AI models optimized for Intel and Qualcomm hardware. It supports RAG, auto‑tunes weights, runs locally without Wi‑Fi, and offers an admin console for monitoring, scaling, and audit logs.

Awan LLM offers unlimited token generation with Meta Llama 3.1 8B and 70B models, no censorship or caps, supporting persistent AI assistance, autonomous agents, roleplay, data processing, and code completion, hosted on owned GPUs for continuous use.

Scale AI delivers a full‑stack generative‑AI platform that integrates enterprise data, supports fine‑tuning, RLHF, and model safety evaluation, and enables secure AI agent deployment with compliance‑certified cloud infrastructure for regulated and government use.

LangWatch enables real‑time testing of LLM agents, offering simulation, prompt management, audit trails, and batch testing across models. It integrates with OpenTelemetry, LangChain, LangGraph, and supports self‑hosted, cloud, and role‑based access.

Morphllmis a high-throughput AI code-editing platform that applies LLM-generated multi-file edits, automated diffs, and merges at 10,500+ tokens/sec via edit_file and MCP/OpenAI-compatible SDKs (TypeScript, Python) for editor, CI, and agent integration. It combines warp-grep/warpsearch semantic co

Flatkey gives AI builders one API key for 200+ AI models with 50% lower token costs

Unstract is an open‑source, no‑code platform that automates structured data extraction from unstructured documents using LLMs. It features reusable prompts, Human‑in‑the‑Loop verification, and dual‑LLM hallucination mitigation for secure, compliant use across finance, insurance, and healthcare.

Confident AI is an evaluation platform for assessing large language models, enabling benchmarking, unit testing, and A/B testing. It streamlines dataset management and monitoring, ensuring optimal performance and alignment with benchmarks for LLM applications.

Pioneer automates retraining and deployment of open-source models, using live inference data for fine-tuning and one-shot adaptation. It manages adaptive inference, routing, RAG pipelines, agent workflows, synthetic data generation, monitoring, and automated checkpoint promotion.

LLMChat is an AI chat tool that offers a beta version experience with diverse AI models, personalized memory, custom assistant creation, and privacy-focused locally stored conversations. Explore features like plugin integration, tailored preferences, and prompt examples for various tasks.

Reflection 70B is an open‑source 70 B Llama 3.1‑based model that uses real‑time reflection tuning for self‑correction. It outperforms GPT‑4o on MMLU, HumanEval, MATH, IFEval, GSM8K, supporting accurate coding, debugging, and reasoning tasks via API, with a no‑registration web interface.

LLMAPI is a unified OpenAI-compatible LLM gateway offering access to 100+ models across providers, centralized API key management, failover routing, performance and cost analytics, and team-oriented key controls to simplify integration and operations.

LM Studio is a local platform for running various large language models like Llama 2 and Mistral. It offers an offline environment, user-friendly interface, and supports multiple operating systems, enhancing privacy and allowing for simultaneous model execution.

Lume automates end‑to‑end integration for software teams, discovering schemas and proposing mappings across ERPs, databases, APIs, and flat files. It generates production‑ready dbt models, SQL, and quality rules deployable to Snowflake or BigQuery, shortening cycles and improving data quality.

Klu accelerates LLM app development by enabling collaborative prompt design, version control, and automated evaluation across multiple providers. It offers unified observability, cost and drift tracking, private infrastructure, continuous monitoring, and integration with 50+ tools for scalable AI de

VLLM is a high-throughput, memory-efficient inference engine for Large Language Models, enabling faster responses and effective memory management. It supports multi-node configurations for scalability and offers robust documentation for seamless integration into workflows.

Dynamiq is a low-code enterprise platform for building and managing generative AI applications, offering tools for rapid prototyping, workflow automation, and real-time observability. It ensures secure, compliant deployment of open-source LLMs with built-in guardrails for reliable outputs across ind

Open‑source AI code‑review platform that plugs into GitHub, GitLab, Bitbucket, and Azure DevOps at the pull‑request level. Model‑agnostic, it runs custom rule sets, tracks technical debt, and delivers real‑time metrics without storing source code.

Finlight Real-Time Financial News API offers real-time financial data and AI-driven sentiment analysis with advanced query options. It supports multiple integration methods, enabling seamless incorporation of market intelligence into applications and automated systems.

LLM Selector filters open‑source large language models by use case—chatbots, content, code, summarization, research—while presenting benchmarks, training data, architecture, and deployment details. The interface updates regularly to aid researchers, developers, and product managers in data‑driven mo

ZeroTrusted.ai's LLM Firewall safeguards sensitive data during large language model usage. It combines anonymity, security features like ZTPolicyServer, and accuracy optimization to maintain privacy and mitigate data exposure risks.

LangDrive is a versatile AI tool offering over 100 language models tuning through a single API. It supports seamless connectivity to various data sources, decentralized engine, and free access for model completion tasks via post requests.

Flux LoRA offers a searchable library of low‑rank adaptation models for the FLUX image generation framework. Users can browse, compare, and download models, view usage statistics, and access FAQs and licensing information for compliant deployment.

AdeptLR uses AI to adapt LSAT Logical Reasoning and Reading Comprehension practice in real time, targeting individual weak spots. It includes all LSAC PrepTests, offers detailed analytics, a digital notepad, timed simulations, and customizable drill settings.

exllama is a memory-efficient tool for executing Hugging Face transformers with the LLaMA models using quantized weights, enabling high-performance NLP tasks on modern GPUs while minimizing memory usage and supporting various hardware configurations.

BrandJet AI is a real-time brand monitoring platform that uses AI sentiment analysis to detect reputation risks and prioritize conversations. It then converts these mentions into multi-channel outreach campaigns and aggregates all messages into a unified, AI-prioritized inbox.

finetunefast streamlines AI model training with pre-configured scripts, hyperparameter optimization, and multi-GPU support. It offers one-click deployment, API generation, and monitoring, catering to both novice and expert users for various machine learning applications.

OpenLIT is an open‑source observability platform for large‑language‑model applications, offering distributed tracing, real‑time monitoring, model evaluation, prompt versioning, fleet telemetry, and a zero‑code Kubernetes operator to integrate with major LLM providers and vector databases.

SaaSpec tracks pay as you go LLM API usage and per user token consumption, calculates individual OpenAI token costs, and exports monthly CSVs for finance and engineering. CSVs convert to Stripe invoices for billing, cost allocation and reporting.