#python #artificial_intelligence #large_language_model

This project, called **MiniMind**, is about training a very small language model from scratch. Here are the key points MiniMind is extremely lightweight, with the smallest version being only 26.88MB, which is \(\frac{1}{7000}\) the size of GPT-3. This makes it possible to train and infer on ordinary personal GPUs.
- **Quick Training** The project includes code for pretraining, supervised fine-tuning, LoRA fine-tuning, and DPO preference optimization, along with data processing and testing scripts.
- **Compatibility** It serves as a tutorial for beginners to get started with large language models (LLMs) quickly.
- **Multi-Modal Extension**: There is an extension for visual multi-modal capabilities called **MiniMind-V**.

This project helps users train a small but effective language model quickly and efficiently, making it easier for newcomers to enter the field of LLMs.

https://github.com/jingyaogong/minimind

#python #agent #application_resume #artificial_intelligence #automate #automation #bot #chatgpt #chrome #gpt #human_resources #job #jobs #jobsearch #jobseeker #opeai #python #resume #scraper #scraping #selenium

AIHawk is an AI-powered job search assistant that helps you automate job applications, get personalized recommendations, and land your dream job faster. Here’s how it benefits you AIHawk automates the tedious process of filling out job application forms, saving you time and effort.
- **Personalized Recommendations** It generates customized resumes and cover letters to match the requirements of each job you apply for.
- **Community Support** The project is open-source and actively maintained by a team of contributors, ensuring it keeps getting better with user input.

Overall, AIHawk streamlines the job search process, making it more efficient and increasing your chances of finding the right job quickly.

https://github.com/feder-cr/Jobs_Applier_AI_Agent

#python #agents #ai_agents #ai_agents_framework #artificial_intelligence #developer_tools #devtools #generative_ai #knowledge_graph #memory #rag

Potpie is an open-source platform that helps you automate code analysis, testing, and development tasks. It creates AI agents that understand your codebase deeply, allowing them to assist with debugging, feature development, and more. You can use pre-built agents for common tasks like debugging and testing, or create custom agents to handle specific needs. Potpie integrates seamlessly into your existing development workflow and works with codebases of any size or language. This makes it easier for developers to understand the codebase quickly, review code changes, and generate tests, saving time and improving efficiency.

https://github.com/potpie-ai/potpie

#lua #ai #ai_gateway #api_gateway #api_management #apis #artificial_intelligence #cloud_native #consul #devops #docker #kong #kubernetes #kubernetes_ingress #kubernetes_ingress_controller #luajit #microservice #microservices #nginx #reverse_proxy #serverless

Kong API Gateway is a powerful tool that helps manage and secure your APIs. It offers features like advanced routing, load balancing, health checking, and authentication, making it easier to handle API traffic. Kong is highly scalable and can run on various platforms, including Kubernetes. It also supports plugins for additional functionalities such as AI traffic management and custom extensions. By using Kong, you can centralize your API management, focus on other important tasks, and ensure your APIs are secure and perform well. You can get started quickly with a free trial or by following the easy installation steps.

https://github.com/Kong/kong

#jupyter_notebook #agents #artificial_intelligence #generative_ai #llms #rag

This repository helps you learn and build Generative AI applications using MongoDB. It includes many examples and sample apps for different AI tasks, such as Retrieval-Augmented Generation (RAG) and AI Agents. You can find Jupyter notebooks, JavaScript and Python apps, and contributions from AI partners. To get started, you need to create a free MongoDB Atlas account, set up a database cluster, and get the connection string. This resource benefits you by providing step-by-step guides and support, making it easier to integrate MongoDB into your AI projects and learn from community resources.

https://github.com/mongodb-developer/GenAI-Showcase

#typescript #ai #artificial_intelligence #browser #browser_automation #gpt #gpt_4 #langchain #llama #llm #openai #playwright #puppeteer #scraper

LLM Scraper is a tool that helps you get structured data from any webpage using large language models (LLMs). It supports different AI providers like OpenAI and Ollama, and it uses the Playwright framework to work with web pages. You can define what data you want to extract using schemas, which makes sure everything is organized correctly. This tool also allows you to generate code automatically for scraping tasks, making it easier to reuse scripts. The benefit is that you can easily collect data from websites in a structured way, which is helpful for projects that need specific information from the internet.

https://github.com/mishushakov/llm-scraper

#python #artificial_intelligence #llm #python #real_time #speech_to_text #text_to_speech

FastRTC is a Python library that helps you create real-time audio and video streams using WebRTC or WebSockets. It allows you to turn any Python function into a live stream, making it useful for applications like voice chats or video conferencing. Key features include automatic voice detection, built-in UI support with Gradio, and integration with FastAPI for custom frontends. This library simplifies the process of handling real-time communication, allowing developers to focus on their application logic rather than complex streaming setups.

https://github.com/freddyaboulton/fastrtc

#python #ai #artificial_intelligence #cython #data_science #deep_learning #entity_linking #machine_learning #named_entity_recognition #natural_language_processing #neural_network #neural_networks #nlp #nlp_library #python #spacy #text_classification #tokenization

spaCy is a powerful tool for understanding and processing human language. It helps computers analyze text by breaking it into parts like words, sentences, and entities (like names or places). This makes it useful for tasks such as identifying who is doing what in a sentence or finding specific information from large texts. Using spaCy can save time and improve accuracy compared to manual analysis. It supports many languages and integrates well with advanced models like BERT, making it ideal for real-world applications.

https://github.com/explosion/spaCy

#python #agent #ai_societies #artificial_intelligence #communicative_ai #cooperative_ai #deep_learning #large_language_models #multi_agent_systems #natural_language_processing

CAMEL-AI is a community-driven project focused on multi-agent systems. It helps researchers study how AI agents interact and behave in large-scale environments. This platform supports tasks like data generation, task automation, and world simulation. By using CAMEL-AI, users can create complex scenarios where multiple agents collaborate to solve problems or generate synthetic data. The benefits include gaining insights into agent behaviors, improving decision-making processes, and enhancing collaboration among AI entities. It's open-source and easy to install via PyPI.

https://github.com/camel-ai/camel

#csharp #ai #artificial_intelligence #llm #openai #sdk

Semantic Kernel is a tool that helps developers build and manage AI systems easily. It supports multiple programming languages like C#, Python, and Java, making it versatile for different projects. This tool allows you to connect your AI models to various services and databases, which helps in automating tasks and making decisions based on user inputs. It's especially useful for businesses because it's reliable, secure, and can handle complex workflows. By using Semantic Kernel, developers can create intelligent AI agents that can interact with users and perform tasks efficiently.

https://github.com/microsoft/semantic-kernel