Check this Repo out ! Shubham Saboo's GitHub repository hosts a collection of LLM Apps. These applications leverage large language models (LLMs) from various providers, including OpenAI, Anthropic, and Google, and open-source models. The apps incorporate Retrieval-Augmented Generation (RAG), AI agents, multi-agent teams, and voice agent technologies. This curated list is a valuable resource for exploring the capabilities and applications of LLMs in different contexts. #AwesomeLLMApps #LLM #LargeLanguageModels #OpenAI #Anthropic #GoogleAI #RAG #RetrievalAugmentedGeneration #AIAgents #MultiAgentTeams #VoiceAgents #GitHub #MachineLearning #NLP #AI #Langchain #LlamaIndex #DeepLearning #AISolutions https://github.com/Shubhamsaboo/awesome-llm-apps

So whats the next big fad .... "Context Engineering". So WHAT IS CONTEXT ENGINEERING? 𝟭. It’s Feature Engineering—but for AI Agents. (*Check what's feature engineering down below) 𝟮. The art of filling the context window with exactly what’s needed. 𝟯. You’re managing “working memory” like an operating system manages RAM. 𝟰. Agents need engineered context: instructions, tools, memories, examples, feedback. 𝟱. Poor context = forgotten steps, broken tools, bad decisions. 𝟲. Long-running agents hit context limits fast—engineering is essential. 𝟳. Vibe coding doesn’t scale—context engineering does. In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs. Check the following links for context: - Langchain Explanation on what it is: https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T - First post l saw talking about this was by Andrej Karpathy (@karpathy): https://x.com/karpathy/status/1937902205765607626 - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !: https://x.com/MaryamMiradi/status/1940810454013518178 #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling

DeepAgent is a versatile AI assistant developed by Abacus, capable of handling complex tasks. It can build applications, generate reports and presentations, and integrates with various systems. DeepAgent provides access to top LLMs and generators for video and images, encompassing general purpose and coding agents. #DeepAgent #AbacusAI #AIAssistant #LLMs #GenerativeAI #ApplicationDevelopment #ReportGeneration #PresentationCreation #CodingAgent #VideoGeneration #ImageGeneration #AICoding #AutoGPT #Copilot #LangChain #AIAgent https://deepagent.abacus.ai/

Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. Resources: Get Started → https://google.github.io/adk-docs Sample Agents → https://goo.gle/3Rbdo4s Subscribe to Google for Developers → https://goo.gle/developers #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic

Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. #ADK #AgentDevelopmentKit #GoogleAI #AIAgents #MultiModal #MultiAgentSystems #OpenSource #SoftwareDevelopment #AIDevelopment #AIWorkflow #AItools #AutoGen #LangChain #AIPlanning #Debugging #BuiltInUI #TravelPlanner #AgentFramework #ModelAgnostic #DeploymentAgnostic https://youtu.be/zgrOwow_uTQ

Relevance AI provides a platform for building and managing teams of AI agents to automate tasks autonomously. It allows businesses to streamline operations with customizable, human-quality AI solutions, though implementation may require some technical expertise for beginners. #RelevanceAI #AIAgents #AutonomousAI #Automation #NoCodeAI #ProcessAutomation #AICopilot #Langchain #AutoGPT #AIworkflows #BusinessAutomation #AIteam #AITasks #AIsolutions https://relevanceai.com/

VibeTest.io is a platform that helps users learn and practice prompt engineering through coding challenges. It focuses on improving communication skills with AI systems like Claude and GPT-4 to transform code. The platform allows users to measure their prompt engineering skills by solving problems, with the aim of providing users with a valuable skillset. It appears to be a hands-on tool for those looking to enhance their abilities in this area. #VibeTestio #promptengineering #Claude #GPT4 #AIcommunication #AICodingChallenges #promptdesign #AISkills #LangChain #promptflow #AIliteracy #generativeAI #promptoptimization https://vibetest.io/

Andrej Karpathy discusses "Software 3.0" in the context of AI, highlighting the shift where software behavior is defined and processed by machines, unlike traditional software. This new era leverages Large Language Models (LLMs) as the foundation, with prompts functioning as programs. The concept encompasses aspects such as LLM psychology and partial autonomy, suggesting a future where software interacts and evolves differently. This represents a move away from explicitly coded instructions towards systems that learn and adapt through data and interaction. #Software3.0 #AI #LLMs #LargeLanguageModels #AndrejKarpathy #PromptEngineering #MachineLearning #ArtificialIntelligence #DeepLearning #NeuralNetworks #AutonomousSystems #AISoftware #Langchain #GPT4 #Gemini #Claude https://youtu.be/LCEmiRjPEtQ?si=A1KZ7ZYW2Mqt7BEh

Open Deep Research is an open-source research assistant designed to automate deep research and generate comprehensive reports. It aims to expedite complex and time-consuming web research by allowing users to query a topic and receive AI-generated reports based on search results. This tool appears to be an alternative to traditional research methods, potentially saving users time and effort by automating the information gathering and synthesis process. It highlights the potential of AI to assist in research endeavors. https://github.com/langchain-ai/open_deep_research #AIResearch #OpenSourceTools #ResearchSimplified #TechForGood #FutureOfResearch #SmartResearch #ProductivityTools #AIInnovation #ResearchAssistant #EfficiencyBoost #TechSolutions #AIForEveryone #DeepResearch #TimeSaver #DigitalTools

Nanobrowser is an open-source Chrome extension that uses AI for web automation. It offers a free alternative to OpenAI Operator and allows users to run multi-agent workflows with their own LLM API keys. Key features include being built on browser use and LangChain, and it is Apache licensed. It enables users to automate browser tasks using their preferred LLM. https://nanobrowser.ai/ #WebAutomation #AIAutomation #OpenSource #Nanobrowser #ChromeExtension #TechRevolution #DigitalInnovation #BrowserAutomation #LangChain #ApacheLicense #FreeTools #TechEnthusiast #ProductivityBoost #InnovationUnleashed #TechTrends #BrowseBetter