#javascript #command_line #javascript_library #nodejs #prompt

https://github.com/SBoudrias/Inquirer.js

#python #bert #chatgpt #chatgpt_api #chatgpt_python #chatgpt3 #gpt_2 #gpt_3 #gpt_3_prompts #gpt_neo #gpt3_library #large_language_models #openai #prompt_engineering #prompt_toolkit #prompt_tuning #prompting #prompts #transformers

https://github.com/promptslab/Promptify

#python #agi #gpt #language_model #llm #lm #lmops #nlp #pretraining #prompt #promptist #x_prompt

https://github.com/microsoft/LMOps

#tex #gpt_3 #gpt3 #llm #prompt_engineering #prompting

https://github.com/trigaten/Learn_Prompting

#jupyter_notebook #ai #azure #chatgpt #dall_e #generative_ai #generativeai #gpt #language_model #llms #openai #prompt_engineering #semantic_search #transformers

This course teaches you how to build Generative AI applications with 21 comprehensive lessons from Microsoft Cloud Advocates. You'll learn about Generative AI, Large Language Models (LLMs), prompt engineering, and how to build various applications like text generation, chat apps, and image generation using Python and TypeScript. The course includes videos, written lessons, code samples, and additional learning resources. You can start anywhere and even join a Discord server for support and networking with other learners. This helps you gain practical skills in building and deploying Generative AI applications responsibly and effectively.

https://github.com/microsoft/generative-ai-for-beginners

#typescript #agent #agents #ai #chatgpt #genai #genaistack #gpt #gpt4 #javascript #llm #prompt_engineering #scripting #typescript #vscode_extension

GenAIScript is a powerful tool that helps you work with large language models (LLMs) using JavaScript. It allows you to create and manage prompts, include files and data, and extract structured output all in one script. You can write JavaScript code to generate prompts, analyze data, and save results in files. It integrates well with Visual Studio Code, making it easy to edit, debug, and run your scripts. This tool also supports various file types like PDFs, DOCX, CSV, and XLSX, and you can even reuse and share your scripts. The benefit is that it simplifies the process of working with LLMs, making it more efficient and productive for developers.

https://github.com/microsoft/genaiscript

#typescript #agent_monitoring #analytics #evaluation #gpt #langchain #large_language_models #llama_index #llm #llm_cost #llm_evaluation #llm_observability #llmops #monitoring #open_source #openai #playground #prompt_engineering #prompt_management #ycombinator

Helicone is an all-in-one, open-source platform for developing and managing Large Language Models (LLMs). It allows you to integrate with various LLM providers like OpenAI, Anthropic, and more with just one line of code. You can observe and debug your model's performance, analyze metrics such as cost and latency, and fine-tune your models easily. The platform also offers a playground to test and iterate on prompts and sessions, and it supports prompt management and automatic evaluations. Helicone is enterprise-ready, compliant with SOC 2 and GDPR, and offers a generous free tier of 100k requests per month. This makes it easier to manage and optimize your LLM projects efficiently.

https://github.com/Helicone/helicone

#mdx #chatgpt #deep_learning #generative_ai #language_model #openai #prompt_engineering

Prompt engineering helps you use language models more effectively by designing better prompts. This skill is useful for various tasks like question answering, arithmetic reasoning, and coding. With prompt engineering, you can improve how language models perform and understand their capabilities and limitations. There are resources available, such as guides, courses, and tools, to help you learn and apply prompt engineering techniques. These resources include detailed guides, video lectures, and self-paced courses that can enhance your skills and make you more efficient in using language models.

https://github.com/dair-ai/Prompt-Engineering-Guide

#python #agents #ai #artificial_intelligence #attention_mechanism #chatgpt #gpt4 #gpt4all #huggingface #langchain #langchain_python #machine_learning #multi_modal_imaging #multi_modality #multimodal #prompt_engineering #prompt_toolkit #prompting #swarms #transformer_models #tree_of_thoughts

Swarms is an advanced multi-agent orchestration framework designed for enterprise-grade production use. Here are the key benefits and features Swarms offers production-ready infrastructure with high reliability, modular design, and comprehensive logging, reducing downtime and easing maintenance.
- **Agent Orchestration** Swarms allows multi-model support, custom agent creation, an extensive tool library, and multiple memory systems, providing flexibility and extended functionality.
- **Scalability** Swarms includes a simple API, extensive documentation, an active community, and CLI tools, making development faster and easier.
- **Security Features**//docs.swarms.world) for more detailed information.

https://github.com/kyegomez/swarms

#rust #ai #chatgpt #claude #cli #command_line #command_line_tool #gpt #llm #prompt #prompt_engineering #prompt_generator #prompt_toolkit #rust

`code2prompt` is a tool that helps you convert your entire codebase into a single prompt for large language models (LLMs) like GPT or Claude. It generates a well-formatted Markdown document showing your code structure and details. You can customize the prompt using templates, exclude certain files, and even get the token count of the generated prompt. This tool saves time by automating the process of copying and formatting multiple source files into a single prompt, making it easier to analyze, document, or improve your code using LLMs. It also allows you to save the prompt to a file or copy it directly to your clipboard.

https://github.com/mufeedvh/code2prompt