AI, ML, & Data Engineering Round-Up

A Collection of Top AI, ML, & Data Engineering News, Articles, Presentations, and Podcasts August 2024 [InfoQ] AI, ML, & Data Engineering Round-Up Sponsored by [RavenDB] [Latest Content](#latest-content), [Top Viewed Content](#top-viewed-content), [Top News](#news), [Top Presentations](#top-presentations), [Top Podcasts and Articles](#top-podcasts-and-articles) In this special newsletter we bring you up to date on all the new content and news related to AI, ML, & Data Engineering on InfoQ. We are also maintaining a portal page for this content on InfoQ at: [(. [] Latest Content on InfoQ [Redis Improves Performance of Vector Semantic Search with Multi-Threaded Query Engine]( (news, Jul 19, 2024) [MySQL 9.0 Innovation Release Now Available]( (news, Jul 17, 2024) [OpenAI's CriticGPT Catches Errors in Code Generated by ChatGPT]( (news, Jul 09, 2024) [Generative Search: Practical Advice for Retrieval Augmented Generation (RAG)]( (presentations, Jul 05, 2024) [Being a Responsible Developer in the Age of AI Hype]( (presentations, Jul 02, 2024) [2024 NoSQL Database Trends Report]( This report explores five key NoSQL trends using data from the StackOverflow 2023 Developer Survey and JetBrains 2023 Developer Ecosystem. It examines how developers use databases, focusing on the balance between relational and non-relational databases and where NoSQL solutions typically fit. [Download Now](. Sponsored content [2024 NoSQL Database Trends Report - Sponsored by RavenDB]( [] Top Viewed Content on InfoQ [Slack Combines ASTs with Large Language Models to Automatically Convert 80% of 15,000 Unit Tests]( (news, Jun 11, 2024) [LIquid: a Large-Scale Relational Graph Database]( (presentations, Jun 07, 2024) [Practical Applications of Generative AI]( (minibooks, Jun 17, 2024) [Meta Open-Sources MEGALODON LLM for Efficient Long Sequence Modeling]( (news, Jun 11, 2024) [OpenAI Releases Official .NET Library]( (news, Jun 14, 2024) [] Top News [OpenAI Publishes GPT Model Specification for Fine-Tuning Behavior]( OpenAI recently published their Model Spec, a document that describes rules and objectives for the behavior of their GPT models. The spec is intended for use by data labelers and AI researchers when creating data for fine-tuning the models. [Mistral Introduces AI Code Generation Model Codestral]( Mistral AI has unveiled Codestral, its first code-focused AI model. Codestral helps the developers with coding tasks offering efficiency and accuracy in code generation. [Google Open Sources 27B Parameter Gemma 2 Language Model]( Google DeepMind recently open-sourced Gemma 2, the next generation of their family of small language models. Google made several improvements to the Gemma architecture and used knowledge distillation to give the models state-of-the-art performance: Gemma 2 outperforms other models of comparable size and is competitive with models 2x larger. [The Definitive Guide to Designing a Responsive Data Architecture]( This guide distills some of the essentials you need to design a responsive data architecture. Learn how to identify the strengths & weaknesses of different database technologies, how to design & optimize queries for speed and efficiency, the crucial role indexing plays, and more. [Download Now](. Sponsored content [The Definitive Guide to Designing a Responsive Data Architecture - Sponsored by RavenDB]( [Amazon Q Apps Aim to Simplify the Creation of Generative AI Apps for the Enterprise]( Part of its Amazon Q Business offering, Amazon Q Apps enable the creation of generative AI-powered apps integrating enterprise data that can be shared securely within an organization. Along with their general availability, Amazon announced new APIs for Amazon Q Apps and more granular data source definition. [How Data Mesh Platforms Connect Data Producers and Consumers]( A challenge that companies often face when exploiting their data in data warehouses or data lakes is that ownership of analytical data is weak or non-existent, and quality can suffer as a result. A data mesh is an organizational paradigm shift in how companies create value from data where responsibilities go back into the hands of producers and consumers. [] Top Presentations [Reach Next-Level Autonomy with LLM-Based AI Agents]( Tingyi Li discusses the AI Agent, exploring how it extends the frontiers of Generative AI applications and leads to next-level autonomy in combination with enterprise data. [Tingyi Li]( [Lessons Learned from Building LinkedIn’s AI Data Platform]( Felix GV provides an overview of LinkedIn’s AI ecosystem, then discusses the data platform underneath it: an open source database called Venice. [Felix GV]( [The AI Revolution Will Not Be Monopolized: How Open-Source Beats Economies of Scale, Even for LLMs]( Ines Montani discusses why the AI space won’t be monopolized, covering the open-source model, common misconceptions about use cases for LLMs in industry, and principles of software development. [Ines Montani]( [Defensible Moats: Unlocking Enterprise Value with Large Language Models]( Nischal HP discusses risk mitigation, environmental, social, and governance (ESG) framework implementation to achieve sustainability goals, strategic procurement, spend analytics, data compliance. [Nischal HP]( [When AIOps Meets MLOps: What it Takes to Deploy ML Models at Scale]( Ghida Ibrahim introduces the concept of AIOps referring to using AI and data-driven tooling to provision, manage and scale distributed IT infra. [Ghida Ibrahim]( [Getting started with GraphQL and RavenDB]( Integrating GraphQL with RavenDB allows your application to make fewer requests and transfer only the required data, enhancing efficiency. In this article, you'll learn how to use GraphQL to access data stored in RavenDB with Hot Chocolate running as a stand-alone ASP.NET Core GraphQL server. [Learn More](. Sponsored content [Getting started with GraphQL and RavenDB - Sponsored by RavenDB]( [] Top Podcasts and Articles [Using Generative AI in Software Project Management to Bridge Domains and Accelerate Productivity]( Gen AI Assistants play to the strengths of professionals with a breadth of experience like software developers who can describe what they want the LLM to complete and critically evaluate the result. [article]( [Justin Sheehy on Being a Responsible Developer in the Age of AI Hype]( At the recent InfoQ Dev Summit Boston, Justin Sheehy of Akamai delivered an insightful keynote on being a responsible developer in the age of AI. This special podcast episode is Sheehy’s full talk. [podcast]( [Meryem Arik on LLM Deployment, State-of-the-Art RAG Apps, and Inference Architecture Stack]( In this podcast, Meryem Arik, co-founder/CEO at TitanML, discusses the innovations in Generative AI and Large Language Model (LLM) technologies including. [podcast]( [Edo Liberty on Vector Databases for Successful Adoption of Generative AI and LLM based Applications]( In this podcast, Edo Liberty, founder and CEO at Pinecone, discusses the importance of vector databases in the successful adoption of Generative AI and LLM based applications. [podcast]( [Connect with InfoQ on Twitter]( [Connect with InfoQ on Facebook]( [Connect with InfoQ on LinkedIn]( [Connect with InfoQ on Youtube]( You have received this message because you are subscribed to the “Special Reports Newsletter”. To stop receiving this email, please click the following link: [Unsubscribe]( C4Media Inc. (InfoQ.com), 2275 Lake Shore Boulevard West, Suite #325, Toronto, Ontario, Canada, M8V 3Y3