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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.

LLM 339
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Andrej Karpathy Praises DeepSeek V3’s Frontier LLM, Trained on a $6M Budget

Analytics Vidhya

Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models.

LLM 365
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How to Use Gemma LLM?

Analytics Vidhya

LLMs have even shown promise in more specialized domains, like healthcare, finance, and law. Google has been […] The post How to Use Gemma LLM? appeared first on Analytics Vidhya.

LLM 323
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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 332
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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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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.

LLM 345
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Building an LLM Model using Google Gemini API

Analytics Vidhya

More than a year after the GPT models were released, there were no big moves from Google, apart from the PaLM API, which […] The post Building an LLM Model using Google Gemini API appeared first on Analytics Vidhya.

LLM 353
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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.

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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.