Exactera’s Post

Imagine a future where the convergence of Large Language Models (LLMs) and #OpenSearch is reshaping the landscape of AI-powered search. This talk by Jochen Kressin and Leanne Lacey-Byrne will explore how #LLMs simplify user interaction with OpenSearch by translating natural language directly into search queries. They also explore the integration of OpenSearch's Vector Storage, which enhances traditional term-based searches with deeper semantic insights. Watch their speaker video from #OSMC 2023 and learn how they envision search engines evolving into intuitive knowledge exploration partners, transcending their traditional role as mere tools. https://lnkd.in/dJBxDv8d

In this in-depth article, we explore the evaluation of over 10 leading Large Language Models (LLMs) using a range of metrics, including traditional methods like BLEU, ROUGE, and METEOR, alongside scenario-based metrics tailored for specific applications. We dive into Responsible AI, Text-to-SQL metrics, Retrieval Q&A, Named Entity Recognition (NER), and guardrails, providing a comprehensive guide to understanding and comparing LLM performance across diverse tasks. Whether you’re a researcher, developer, or enthusiast, this article offers valuable insights into the best practices for evaluating the capabilities of today’s top LLMs. #llm #rouge #bleu #responsbileai #metrics #evaluation

This is a great resource for legal professionals looking to dive into the world of Generative AI and Large Language Models. Download a copy today to: 🔎 Uncover the fundamental concepts of GenAI and LLMs, including how these cutting-edge technologies work 🔒 Secure your workflow with expert insights on data protection and preventing AI hallucinations ⚙ Explore practical uses of GenAI for legal professionals, including optimized document review, comprehensive analysis, and transcript summarization ➡ Download a copy now! https://lnkd.in/gW897GGj

In the newest instalment of our 'AI Deep Dive' series (linked below), Eli guides you through three practical examples of how to harness the power of Large Language Models for extracting and interpreting information from images. Along the way, you’ll encounter an amusing yet instructive example involving a goat, a bench, and a laundromat—a perfect illustration of how LLMs can identify and explain unusual elements within an image. https://ow.ly/Ihnp50RsWg3

This guide is your key to leveraging AI to revolutionize discovery workflows and boost efficiency. Don't miss out—download a copy today!

There is a new technology that could disrupt the RAG-based approach today. This is called "infinite context". It allows a small model (a 1B or 8B model) to take in 1M tokens as input. This Friday we will read this new paper (released on April 10 from Google). We believe this paper shed some light on Gemini 1.5, which can handle input of 10M tokens and understand long videos (longer than 1 hour). Join me this Friday at 7pm in Zoom in AI Frontiers meetup, where I will explain what's inside the infinite-context transformer and the exciting applications that it implies.

Ghostbuster: Detecting Text Ghostwritten by Large Language Models Ghostbuster, a state-of-the-art method for detecting AI-generated text. Ghostbuster works by finding the probability of generating each token in a document under several weaker language models, then combining functions based on these probabilities as input to a final classifier. Ghostbuster doesn’t need to know what model was used to generate a document, nor the probability of generating the document under that specific model https://lnkd.in/g5zUC-_K

In the middle of the trend of scaling language models, Mixture of Experts (MoE) is a potential candidate to replace the current scaling method and achieve comparable scores to close-source LLMs like GPT-3.5, GPT-4, Claude, etc. Mixtral 8x7B is the latest open-source model from Mistral and took the spotlight on several open LLM benchmarks until this day (03/2024). Deep dive with me into the architecture behind Mixtral 8x7B success: https://lnkd.in/guXNWwC4

Understand Generative AI and Large Language Models (LLMs)

Webinar Alert! 📅 Mark your calendars: January 18, 2024 Time: 4 PM GMT / 11 AM EST Duration: 1.5 Hours 🔗 Register Here: https://bit.ly/48IVFb8 Join us for "From Large to Precise Language Models," an interactive session for professionals in #finance and #AI. Why you can't-miss this: 📌Expert insights: Vahe Andonians, Cognaize Founder, takes you through the evolving landscape of language models. 📌Deep dive: Learn about the challenges and benefits of language model applications. 📌Interactive Q&A: A rare chance to directly engage with an AI expert on topics that matter to you. Who should join? ✔Finance professionals ✔AI enthusiasts ✔Anyone curious about the future of AI in finance Learn more here 👉 https://lnkd.in/e2ZUxiHC #webinar #ArtificialIntelligence #LanguageModels