Fausto Bernardini, PhD

The current trend in LLMs is small models. This easy-to-understand article discusses the various ways to achieve model compression and provides key references.

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My book is the # 1 new release in NLP, which is probably just an artifact of hypersegmentation (how many new releases can there be in NLP?) but still nice 😊 https://t.ly/skbook

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Excited to share my latest blog on #elasticsearch Labs! 🚀 In this post, I dive into an alternative approach for parsing PDFs in #rag workflows, specifically tackling the challenges of extracting and making sense of tables in PDF documents. #openai #vectordb #genai #rag #elasticsearch

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Announcing Mosaic AI Agent Framework and Agent Evaluation! New tools designed to help developers build and deploy high-quality Agentic and RAG apps. See an example of how to build a high-quality agentic application using Agent Framework and improve its quality using Agent Evaluation

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AI next frontier is possibly developing and scaling the reasoning layer, where AI systems possess hard problem-solving and higher order cognitive intelligence. Came across this good article from Sequoia.

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Interesting new open source Event processing platform from Microsoft. https://lnkd.in/gPr4Cifu The features that I am interested in are 1. It’s input schema is modelled on Debezium, another open source CDC product. 2. Enables action on an event 3. Write continuous queries using Cypher query lanaguage Combining such a powerful platform with a LLM would be sone pe suhaga (best of both worlds).

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Big news: Anthropic's most intelligent model yet, Claude 3.5 Sonnet, is generally available on Google Cloud’s Vertex AI! Get all the details on the announcement and learn how to get started ⬇️

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📢 Who Invented the Term QoE (Quality of End User Experience)? 📢 Ever wondered who coined the term QoE (Quality of End User Experience) and pioneered solutions to measure it, relating it to QoS (Quality of Service) for the first time nearly 20 years ago? Discover the innovator behind this groundbreaking concept and the impact it has had on the telecommunications industry. Watch the video below to learn more! 🎥👇 #QoE #drdavidsoldani https://lnkd.in/gcvF8Tux

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💡 I recommend this interesting article on how 𝗻𝗲𝘂𝗿𝗼𝘀𝘆𝗺𝗯𝗼𝗹𝗶𝗰 𝗔𝗜 can overcome the limitations of LLMs. As an example, SAP Chief AI Officer Dr. Philipp Herzig explains that SAP introduced a formal parser to train an LLM on the ABAP programming language, 𝗶𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝗳𝗿𝗼𝗺 𝟴𝟬% 𝘁𝗼 𝟵𝟵.𝟴%. 𝗡𝗼 𝗺𝗼𝗿𝗲 𝗵𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀! ✅ #SAP #AI #generativeAI #neurosymbolicAI

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Oracle today announced the general availability of HeatWave #GenAI, including in-database LLMs, an automated in-database vector store, and the ability to have human-like contextual conversations in natural language. https://lnkd.in/gwZc7Pi3

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Here is a blog post that explains how to use OCI Generative AI to perform Retrieval Augmented Generation. The article focuses on various hyper-parameters that can be tuned. https://lnkd.in/ghP5r6ef #GenerativeAI

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That pesky ECDSA signature refuses to go away, and we are struggling with it in a distributed world of trust. Luckily EdDSA is much more scalable, and now used in many distributed signature applications (and where we can split the private key up into secret shares and distribute them over several nodes). But we have a problem ... elliptic curve methods are going to be cracked by quantum computers. So can we take our PQC signature methods and scale them to distributed signatures? Well, no, as Dilithium doesn't support it. But Raccoon can, and also has better side channel resistance (and with a similar performance and key size to Dilithium. So, meet Raccoon: https://lnkd.in/d2QMHSM9

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Graph databases have emerged as a powerful tool for managing interconnected data, but not all are created equal. Join industry expert George Anadiotis and George Demarest as they uncover the key criteria for evaluating #graphdatabases in this #webinar. https://lnkd.in/eWBYYY6S

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The RAG (Retrieval-Augmented Generation) model demonstrates its value but requires further enhancement for domain-specific knowledge retrieval. The solution lies in the RAFT (Retrieval-Augmented Fine-Tuning) approach. Dive deeper into this topic by exploring the insights shared in this blog post. #azure #AzureOpenAI

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Turns out #GenAI takes some basic common sense: (1) use the right Model for the right Use-Case (2) use Open models to leverage the Open eco-system (3) run models - where they should run - based on data availability, proximity, latency, operational efficiency, etc... On Tuesday, July 23, #Meta announced the launch of the Llama 3.1 collection of multilingual large language models (#LLMs). The instruction-tuned Llama 3.1-405B, which figures to be the largest and most powerful open-source language model available today and competitive with the best proprietary models on the market. So, if you have a use-case that benefits from this large scale OPEN model - it is now available on IBM® #watsonx.ai - where it can be deployed on the IBM cloud, in a hybrid cloud environment or on-premises. #watsonx provides a consistent common platform for use with your models, open models, and our models.... Read the announcement here: https://ibm.biz/BdKqta

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🤔 Let’s discuss the conceptual idea of large language model sentience in the context of smaller and smaller parameters. https://lnkd.in/eyAq6Dc4 #LLMs #AI #AGI #sentience

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