Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)
Eugene Yan
AUGUST 17, 2024
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.
Eugene Yan
AUGUST 17, 2024
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.
Analytics Vidhya
DECEMBER 27, 2024
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.
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Analytics Vidhya
FEBRUARY 27, 2024
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.
Analytics Vidhya
MAY 23, 2024
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.
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- (..)
Analytics Vidhya
DECEMBER 29, 2023
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.
Analytics Vidhya
DECEMBER 15, 2023
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.
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 (..)
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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