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Alibaba’s LLM-R2: Revolutionizing SQL Query Efficiency

Analytics Vidhya

Alibaba, in collaboration with Nanyang Technological University and Singapore University of Technology and Design, unveils LLM-R2, an innovative system aimed at enhancing SQL query efficiency. Also Read: […] The post Alibaba’s LLM-R2: Revolutionizing SQL Query Efficiency appeared first on Analytics Vidhya.

LLM 280
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30+ LLM Interview Questions and Answers

Analytics Vidhya

LLM development has accelerated in recent years, leading to widespread use in tasks like complex data analysis and natural language processing. In tech-driven […] The post 30+ LLM Interview Questions and Answers appeared first on Analytics Vidhya.

LLM 283
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PyTorch Introduces torchtune: Simplifying LLM Fine-Tuning

Analytics Vidhya

It offers a range of features and tools to empower developers in customizing and optimizing LLMs for various use cases. Also Read: Pytorch […] The post PyTorch Introduces torchtune: Simplifying LLM Fine-Tuning appeared first on Analytics Vidhya.

LLM 275
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Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcare

Analytics Vidhya

Hugging Face has launched an Open Medical-LLM Leaderboard aiming to address these concerns. Let’s find out how this helps improve healthcare and […] The post Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcare appeared first on Analytics Vidhya.

LLM 253
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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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PyTorch’s TorchTune: Revolutionizing LLM Fine-Tuning

Analytics Vidhya

PyTorch released the alpha tourchtune, a PyTorch native library […] The post PyTorch’s TorchTune: Revolutionizing LLM Fine-Tuning appeared first on Analytics Vidhya. TorchTune, a new PyTorch library, tackles this challenge head-on by offering an intuitive and extensible solution.

LLM 249
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Overcoming LLM Hallucinations Using Retrieval Augmented Generation (RAG)

Unite.AI

Large Language Models (LLMs) are revolutionizing how we process and generate language, but they're imperfect. Just like humans might see shapes in clouds or faces on the moon, LLMs can also ‘hallucinate,' creating information that isn’t accurate. Let’s take a closer look at how RAG makes LLMs more accurate and reliable.

LLM 290
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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, 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 Why implementing safeguards can significantly improve (..)

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications.