article thumbnail

Enterprise LLM APIs: Top Choices for Powering LLM Applications in 2024

Unite.AI

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Why LLM APIs Matter for Enterprises LLM APIs enable enterprises to access state-of-the-art AI capabilities without building and maintaining complex infrastructure.

LLM 246
article thumbnail

7 LLM Parameters to Enhance Model Performance (With Practical Implementation)

Analytics Vidhya

Most people don’t even realize the secret lies in LLM parameters. If you’ve ever wondered how AI models like ChatGPT generate […] The post 7 LLM Parameters to Enhance Model Performance (With Practical Implementation) appeared first on Analytics Vidhya. It crafts tailored, coherent responses that almost feel human.

LLM 249
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Popular LLM Agent Tools for Customer Query Management

Analytics Vidhya

Large language model (LLM) agents are the latest innovation in this context, boosting customer query management efficiently. They automate repetitive tasks with the help of LLM-powered chatbots, unlike typical customer query management.

LLM 221
article thumbnail

How to Pick the Right LLM for Your Business?

Analytics Vidhya

Introduction With the growing number of LLMs like GPT-4o, LLaMA, and Claude, along with many more emerging rapidly, businesses’ key question is how to choose the best one for their needs. This guide will provide a straightforward framework for selecting the most suitable LLM for your business requirements.

LLM 230
article thumbnail

How to Leverage AI for Actionable Insights in BI, Data, and Analytics

Learn how you can bring your own LLM or SLM and enhance your application with embedded analytics and BI powered by Logi Symphony. Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

article thumbnail

10 Business Applications of LLM Agents

Analytics Vidhya

From supporting summarization, translation, and generation, LLMs like GPT-4, Gemini, and Llama have made it simple to work with content and data.

LLM 279
article thumbnail

15 Most Frequently Asked Questions About LLM Agents

Analytics Vidhya

Introduction Large language model (LLM) agents are advanced AI systems that use LLMs as their central computational engine. They have the ability to perform specific actions, make decisions, and interact with external tools or systems autonomously.

LLM 229
article thumbnail

LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

article thumbnail

LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Join Travis Addair, CTO of Predibase, and Shreya Rajpal, Co-Founder and CEO at Guardrails AI, in this exclusive webinar to learn: How guardrails can be used to mitigate risks and enhance the safety and efficiency of LLMs, delving into specific techniques and advanced control mechanisms that enable developers to optimize model performance effectively (..)

article thumbnail

Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.