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Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)

Eugene Yan

Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.

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Building Reliable Agent using Advanced Rag Techniques, LangGraph, and Cohere LLM

Analytics Vidhya

Introduction LLM Agents play an increasingly important role in the generative landscape as reasoning engines. However, agents face formidable challenges within Large Language Models (LLMs), including context understanding, coherence maintenance, and dynamic adaptability.

LLM 374
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Apple Secretly Launches Its First Open-Source LLM, Ferret

Analytics Vidhya

Apple has quietly introduced Ferret, its first open-source multimodal large language model (LLM), marking a significant departure from its traditional secretive approach. Developed in collaboration with Columbia University, Ferret integrates language understanding with image analysis, promising groundbreaking applications in various fields.

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Alibaba Marco-o1: Advancing LLM reasoning capabilities

AI News

Alibaba has announced Marco-o1, a large language model (LLM) designed to tackle both conventional and open-ended problem-solving tasks. The post Alibaba Marco-o1: Advancing LLM reasoning capabilities appeared first on AI News. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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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.

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Efficient LLM Workflows with LangChain Expression Language

Analytics Vidhya

Introduction The advancements in LLM world is growing fast and the next chapter in AI application development is here. Initially known for proof-of-concepts, LangChain has rapidly evolved into a powerhouse Python library for LLM interactions. LangChain Expression Language (LCEL) isn’t just an upgrade—it’s a game-changer.

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Fundamental Principles of Langchain in LLM Based Application Development

Analytics Vidhya

Introduction We live in an age where large language models (LLMs) are on the rise. One of the first things that comes to mind nowadays when we hear LLM is OpenAI’s ChatGPT. Now, did you know that ChatGPT is not exactly an LLM but an application that runs on LLM models like GPT 3.5

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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- (..)

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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 (..)

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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.