AI Game DevTools (AI-GDT)
Section: LLM (LLM & Tool) · Auto Gen-AI App Generator with the Power of Llama 2
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DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.
Section: LLM (LLM & Tool) · Auto Gen-AI App Generator with the Power of Llama 2
Section: Links
Section: Prompts · ⚡ DemoGPT enables you to create quick demos by just using prompts. ⚡ Star to support our work!
Section: Python · 🧩 DemoGPT enables you to create quick demos by just using prompts.
Section: Auto-GPT Related · 🧩 DemoGPT enables you to create quick demos by just using prompts.
Section: Open-source projects · DemoGPT enables you to create quick demos by just using prompts.
Section: Agents · DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.
Section: Python · 🧩 DemoGPT enables you to create quick demos by just using prompts on top of Langchain documenentation tree
Section: Tools · 🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
Flowise simplifies the creation of applications leveraging large language models (LLMs) by providing a drag-and-drop interface for customizing AI workflows, offering easy installation, Docker support, development tools, and documentation for integrating various functionalities such as…
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
is an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue based on LLaMa.
Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…
The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.