Agents

7 Ways Call Centers Use AI to Unlock Time for Their Agents and Customers

A study by CCW Digital reveals that as much as 62% of contact centers are looking into investing in automation and AI. At the identical time, many consumers are willing to make use of...

Decoding Opportunities and Challenges for LLM Agents in Generative AI

We're seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. Agents are being talked about heavily in industry and research circles,...

Auto-GPT & GPT-Engineer: An In-depth Guide to Today’s Leading AI Agents

Setup Guide for Auto-GPT and GPT-EngineerEstablishing cutting-edge tools like GPT-Engineer and Auto-GPT can streamline your development process. Below is a structured guide to make it easier to install and configure each tools.Auto-GPTEstablishing Auto-GPT can...

Document-Oriented Agents: A Journey with Vector Databases, LLMs, Langchain, FastAPI, and Docker Introduction Vector Databases: The Essential Core of Semantic Search Applications Constructing a Document-Oriented Agent Experiment: Understanding...

Leveraging ChromaDB, Langchain, and ChatGPT: Enhanced Responses and Cited Sources from Large Document DatabasesDocument-oriented agents are beginning to get traction within the business landscape. Corporations increasingly leverage these tools to capitalize on internal documentation,...

Document-Oriented Agents: A Journey with Vector Databases, LLMs, Langchain, FastAPI, and Docker Introduction Vector Databases: The Essential Core of Semantic Search Applications Constructing a Document-Oriented Agent Experiment: Understanding...

Leveraging ChromaDB, Langchain, and ChatGPT: Enhanced Responses and Cited Sources from Large Document DatabasesDocument-oriented agents are beginning to get traction within the business landscape. Corporations increasingly leverage these tools to capitalize on internal documentation,...

Dumber LLM Agents Need More Constraints and Higher Tools Summary Overview of Agents Setup Findings and Experiments Concluding Thoughts

In this text, we compare how well LLM-powered agents with different degrees of complexity perform over practical data tasks (financial evaluation). We compare the performance of agents with more complex, unrestrained interaction behavior (ReAct)...

A Gentle Intro to Chaining LLMs, Agents, and utils via LangChain

#LLM for beginnersUnderstand the fundamentals of agents, tools, and prompts and a few learnings along the way in whichAudience: For those feeling overwhelmed with the large (yet sensible) library…I’d be lying if I said...

Stanford U & Google’s Generative Agents Produce Believable Proxies of Human Behaviours

The standard and fluency of AI bots’ natural language generation are unquestionable, but how well can such agents mimic other human behaviours? Researchers and practitioners have long considered the creation of a type of...

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