melih-unsal/DemoGPT
馃 Create LLM agents in a second with your prompts. Everything you need to create an LLM Agent - tools, prompts, frameworks, and models - all in one place.
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馃殌 The LLM Automatic Computer Framework: L2MAC
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Latest capture 2026-07-17 10:51
56 captures since 2026-05-22
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Scanned 2026-07-17 10:51
requirements.txt
python ecosystem,
8 dependencies
setup.py
python ecosystem,
0 dependencies
docs/package.json
javascript ecosystem,
2 dependencies
docs/package-lock.json
javascript ecosystem,
206 dependencies
docs/generated_examples/blackjack_game/requirements.txt
python ecosystem,
1 dependency
docs/generated_examples/snake_game/requirements.txt
python ecosystem,
2 dependencies
docs/generated_examples/url_shortener_web_application/requirements.txt
python ecosystem,
4 dependencies
docs/generated_examples/url_shortener_web_application/setup.py
python ecosystem,
4 dependencies
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馃 Create LLM agents in a second with your prompts. Everything you need to create an LLM Agent - tools, prompts, frameworks, and models - all in one place.
馃殌 LangChain for Swift. Optimized for iOS, macOS, watchOS (part) and visionOS.(beta)
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Control Any Computer Using LLMs.
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility and impact of these models across various applications.