CLAP Repository and CLAP Commands for Agents

## Details

Join us for an online event dedicated to exploring principles, tools and applications in the domain of Agentic AI and Agentic Large Language Relational Model (LLRM). Whether you're a beginner looking to dive into Agentic AI, this event will have something for everyone. We will discuss the role of Agentic AI and Agentic LLRM in today's world and the importance of various applications. Generative AI uses LLMs to generate text, images, videos along with other contents based on prompts. Agentic AI takes actions making decisions based on reasoning, interacting with external environment in order to reach certain objectives. Agentic AI can operate with a level of autonomy and intelligence based on structured query based meta level languages to add new levels of dimensions for reasoning. Agentic LLRM can make intelligent decisions regarding retrievals from any websites, any external or internal AI models, external/internal data sources along with real-time information retrieval from anywhere in the world to generate accurate and timely results.

Google Meet Link: https://meet.google.com/nfj-xfzv-hgr
(Time in Pacific Daylight Time ‎(UTC-7)‎, California (USA) time)
12:00 PM - 12:05 PM Introduction
12:05 PM - 12: 50 PM Session 1

Title: Directives Oriented Agentic Framework (DOAF) and CLAP Repository

Speaker: Dr. Shyam S Sarkar, Big Data Science Meetup Organizer

Abstract: This event is a continuation of the previous events on Agentic LLRM-SQL queries, CLAP repository and explanations about agentic queries. There were discussions in past meetups about CLAP (Continuously Learning Agent Platform) repository where certain command types were defined for dealing with agents. Each CLAP command is meant for certain type of agent related prompt(s) and/or execution of Agentic LLRM-SQL query. In this meetup there will be discussions about creation of a set of "DIRECTIVES" specified in a document which can be followed by an agent (or multiple agents) in order to perform single (or multiple) complex task(s). These interesting features involving "DOAF" (Directive Oriented Agentic Framework) can lead to highly complex agentic computations in complex (parallel and/or sequential) computations for various tasks such as searching the web for list of papers/documents about any topic, analyzing documents to write a thesis or a book or a business plan, a marketing plan or any other complex documents along with several other complex tasks.
There will be discussions about future possibilities of creating/managing "shared computer(s)" on the web by any enterprise, accessible only by AI agents using "DIRECTIVES" for creating/updating/adding/deleting programs and/or files, executing any set of commands, creating/experimenting with innovative programs implementing ideas from research papers, and enforcing concurrency control for multi-agent collaborations/coordinations.

12:50 PM - 12:58 PM Q/A