Luna consulting

It is time to build your own autonomous #LLM agents. Complex tasks can be challenging for LLMs, especially that includes multiple steps. LLM agents are designed for exactly these kinds of situations. They combine thorough data analysis, strategic planning, data retrieval, and the ability to learn from past actions to solve complex issues. They can think ahead, remember past conversations, and use different tools to adjust their responses based on the situation and style needed. LLM agent components: LLM agents generally consist of four components: 1. Agent/brain: At the core of an LLM agent is a language model that processes and understands language based on a vast amount of data it's been trained on. When you use an LLM agent, you start by giving it a specific prompt. This prompt is crucial—it guides the agent on how to respond, what tools to use, and the goals it should aim to achieve during the interaction. It's like giving directions to a navigator before a journey. 2. Planning: Through planning, LLM agents can reason, break down complicated tasks into smaller, more manageable parts, and develop specific plans for each part. 3. Memory: The memory of LLM agents helps them handle complex LLM tasks with a record of what’s been done before. There are two main memory types: Short-term memory: This is like the agent’s notepad, where it quickly writes down important details during a conversation. Long-term memory: Think of this as the agent’s diary, storing insights and information from past interactions over weeks or even months. 4. Tool use: Tools in this term are various resources that help LLM agents connect with external environments to perform certain tasks. These tasks might include extracting information from databases, querying, coding, and anything else the agent needs to function. Know more about LLM agents: https://lnkd.in/g6P8QuS9 Here is a step-by-step guide on how to build multi-agent AI app with AutoGen: https://lnkd.in/geSzbMrJ Hey, I have started creating a lot of interesting videos on different concepts related to AI/ML/Data, kindly subscribe to my YouTube channel: https://lnkd.in/gmAKSxKJ