No Code Llm Fine Tuning

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.

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.

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.

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.

Code Snippets AI indexes full codebases to deliver contextual insights, auto‑generated comments, and precise snippet recommendations. It tracks LLM usage, supports multi‑model chat, offers role‑based collaboration, and integrates with macOS and Windows via API.

Unsloth Studio is a no-code web UI enabling local training, running, and exporting of open AI models like Qwen3.5 and NVIDIA Nemotron 3, simplifying experimentation for users without extensive technical expertise.

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

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.

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.

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

Kilo Code is an open-source AI agent extension for VS Code that enhances coding efficiency by generating code, automating tasks, and providing intelligent suggestions. It supports real-time developer assistance and integrates with multiple AI models for future expansion.

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.

LMQL is a Python‑based language that enables modular, constraint‑driven prompts for large language models. It supports nested queries, type‑enforced outputs, and runtime distribution checks while switching between backends such as llama.cpp, OpenAI, and Hugging Face.

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.

LLMStack is an open‑source platform that lets developers build AI agents and workflows without coding, supports multiple model providers, imports data from web, PDFs, audio, cloud services, and offers a collaborative React UI with granular permissions.

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.

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.

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.

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.

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

mancer delivers unfiltered large‑language‑model inference on high‑end hardware. After signing up, users select a model and prompt immediately, with no output filtering or moderation. The platform supports multiple model tiers and provides Discord and email support.

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.

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.

StableCode is an innovative LLM-powered AI tool for coding assistance and learning. It enhances programmer productivity while serving as a resourceful teaching aid for beginners.

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.

little-coder is a Pi-based coding agent for running 5–25 GB local LLMs via llama.cpp or Ollama, offering Python/Node CLIs and TypeScript extensions, reproducible benchmarks, build/serve guides, and tools for local code generation, on-device development, and evaluation.

No Code Founders is a learning and networking hub for entrepreneurs building online businesses without coding. It offers 70+ video courses, 1,000+ tutorials, a Slack community, networking events, a 42,000‑tool directory, business guides, startup ideas, and tool credits.

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.

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.

LLMChess lets users play White against a GPT‑driven engine (GPT‑3.5‑Turbo or GPT‑4) with start/stop controls and a log pane. It offers un‑rated, platform‑rated, and FOA‑rated games, tournaments, and training tools like puzzles and post‑game analysis.

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.

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.

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.

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

Llama.cpp is an open-source tool for efficient inference of large language models. Run open source LLM models locally everywhere.

Parea AI tracks LLM calls via Python/TypeScript SDKs, letting teams evaluate models on custom data, spot regressions, iterate prompts in a playground, monitor cost, latency and quality, and collect human annotations for fine‑tuning.

Bolt.diy is an open-source AI-powered platform for developing, running, and deploying full-stack web applications using multiple LLMs. It features an integrated terminal, version control, and seamless model integration, making AI-assisted coding more efficient and flexible.

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.

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.

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

Micro LLM is a personal AI assistant that enhances productivity by managing tasks, scheduling appointments, and answering questions. It operates on devices like iPads and iPhones, offering offline functionality and an intuitive interface for seamless organization.

Web2llm converts web documents into structured Markdown files, extracting relevant content while omitting extraneous elements. Users can input multiple URLs, and the tool organizes individual files and provides summaries in a dedicated 'docs' folder.

aiCode.fail reviews generated code independently of chat context, supports all languages without compiling, detects hallucinations and security issues, and integrates with Monaco Editor for instant copy and unlimited audits, speeding debugging and development cycles.

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.

Pocketllm is an AI-powered personal document search engine that allows you to easily search and retrieve information from thousands of pages of PDFs and documents. It offers semantic search capability, fine-tuning search results and summarizing results.

LLM SEO Report generates detailed SEO analyses for brands by assessing visibility across major AI platforms. It provides actionable recommendations to optimize online presence and adapt to evolving search trends influenced by AI technologies.

Ollm.com is a confidential AI gateway providing a single API to route across hundreds of LLM models and providers. It ensures enterprise security with zero data retention, confidential computing, and centralized key management for private, compliant AI workloads.

devlo lets teams build, edit, and ship code from a browser, eliminating local tooling. It auto‑converts tickets to tested PRs, runs autonomous code review, debugging, and security scans, and integrates with GitHub, Jira, Slack. SOC‑2 compliant with zero data retention.