Interestingly, bot builders can decide if LLM costs will be covered by users or by the builder. However, there are no signs of monetisation for AI bot builders.
AGENTS
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Agents AI Trending: Simplifying Complexity with Intelligent Automation
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Agents are so hot, we’re now labeling things that aren’t agents But on a serious note, getting more done with less complexity is awesome!
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AI Agents Promise Natural Language Computing Automation
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I think this is why many people are excited with AI Agents. They bring the promise of using language to direct the computer to do all these work, with the use of AI to process data. The idea that you can tell a computer what to do and it'll get it done. #aiagents
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Why AI Agents Are Transforming Workflow Automation Today
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Why are AI Agents exciting? Even after a year of AI hype , integrating AI into our day-to-day workflows remains challenging. For example, it is not straight-forward to get an AI to repeat a task over a large spreadsheet, or to look at every incoming email – extract relevant
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Fork AI tools to avoid dependency on base models
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faut forker pour qu'ils utilisent pas les AI de base
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Tree Structures for LLM Interaction History Visualization
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The tree structure reflects how I interact with these interfaces: I generate a few answers, go back and edit one, etc. It's a lot of back and forth. Even if the LLM can access the full history, I still want trees to visualize my past interactions and to switch between them
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20+ Open Source Agent and RAG Application Templates
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Great post. I especially like the @LeapAI_ and @phidatahq usecases. You can find 20+ agents and RAG application templates opensource here in this github repo for free:
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Mosaic AI Agent Framework and Evaluation Tool Released
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Announcing Mosaic AI Agent Framework and Agent Evaluation! Designed to help developers build and deploy high-quality Agentic and RAG apps.
— Databricks (@databricks) 2 juillet 2024
Learn more: https://t.co/Qt5tNMBYus pic.twitter.com/5LIZSUCFHFAnnouncing Mosaic AI Agent Framework and Agent Evaluation! Designed to help developers build and deploy high-quality Agentic and RAG apps. Learn more: https://
dbricks.co/3RWt7VJ -
Flowise Multi-Agent Team Creation for Content Automation
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Using Flowise to create team of agents for Flowise video titles, descriptions and posts.
— FlowiseAI (@FlowiseAI) 2 juillet 2024
Flowiseception🌀https://t.co/oQofu3kdyg https://t.co/KSwQyYVEZe pic.twitter.com/rPemmhfSg5Using Flowise to create team of agents for Flowise video titles, descriptions and posts. Flowiseception https://
youtu.be/eAH7LDGMVEs?si
=CyUWvmjCoVWrEq1W
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Effectiveness of Plain Prompting vs Fine-Tuned Models for AI Agents
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It's trendy to share models "fine-tuned for function calling", e.g. Command-R-Plus or Mixtral-8x22B. But you don't need this to make good agents Cf graph:
The count of incorrectly formatted actions is already close to 0 with plain prompting! (GPT-4o, GAIA validation run)