A Collection of Top AI, ML, & Data Engineering News, Presentations, Podcasts June 2024 [InfoQ]
AI, ML, & Data Engineering Round-Up Sponsored by
[HPE Ezmeral Software and Intel] [Latest Content](#latest-content), [Top Viewed Content](#top-viewed-content), [Top News](#news), [Top Presentations](#top-presentations), [Top Podcasts](#top-podcasts) 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 [Cloudflare AI Gateway Now Generally Available]( (news, Jun 02, 2024)
[University of Washington AI-Powered Headphones Let Users Listen to a Single Person in a Crowd]( (news, May 31, 2024)
[Stanford AI Index 2024 Report: Growth of AI Regulations and Generative AI Investment]( (news, May 28, 2024)
[NIST Launches Program to Discriminate How Far from Human-Quality are Gen AI Generated Summaries]( (news, May 28, 2024)
[Large Language Models for Code: Exploring the Landscape, Opportunities, and Challenges]( (presentations, May 23, 2024) [Exploring enterprise AI: An Introduction to LLMs, vector databases, and more](
This paper illustrates the significant potential of Retrieval Augmented Generation and LLMs in revolutionizing business operations. By integrating these advanced AI tools, businesses can harness the power of intelligent data analysis and drastically empower their decision-making with their data. [Download now](. Sponsored content [Exploring enterprise AI: An Introduction to LLMs, vector databases, and more - Sponsored by HPE Ezmeral Software and Intel]( [] Top Viewed Content on InfoQ [Uber Migrates 1 Trillion Records from DynamoDB to LedgerStore to Save $6 Million Annually]( (news, May 19, 2024)
[Yelp Overhauls Its Streaming Architecture with Apache Beam and Apache Flink]( (news, Apr 22, 2024)
[Retrieval-Augmented Generation (RAG) Patterns and Best Practices]( (presentations, May 30, 2024)
[Meta Releases Llama 3 Open-Source LLM]( (news, May 07, 2024)
[Experimenting with LLMs for Developer Productivity]( (articles, May 21, 2024) [] Top News [Stability AI Releases 3D Model Generation AI Stable Video 3D](
Stability AI recently released Stable Video 3D (SV3D), an AI model that can generate 3D mesh object models from a single 2D image. SV3D is based on the Stable Video Diffusion model and produces state-of-the-art results on 3D object generation benchmarks. [Google Announces Agent Builder, Expanded Gemini 1.5, Open-Source Additions](
At the Google Cloud Next 2024 event, Google announced the launch of Vertex AI Agent Builder, the public preview of Google's most advanced generative AI model, Gemini 1.5 Pro, and the addition of open-source language models to the Vertex AI platform. [Mistral Large Foundation Model Now Available on Amazon Bedrock](
AWS announced the availability of the Mistral Large Foundation Model on Amazon Bedrock during the recent AWS Paris Summit. This announcement comes days after the release of Mistral AI Models on Amazon Bedrock. [Retrieval-Augmented Generation: Simplifying Generative AI for Businesses](
This white paper cuts through the LLM buzz and tackles what matters most: building a path to real-world impact. Forget trendy acronyms; let's explore Retrieval-Augmented Generation (RAG) - a proven technology unlocking trustworthy insights from information overload. [Download now](. Sponsored content [Retrieval-Augmented Generation: Simplifying Generative AI for Businesses - Sponsored by HPE Ezmeral Software and Intel]( [Google Text Embedding Model Gecko Distills Large Language Models for Improved Performance](
Gecko is a text embedding model that Google created by distilling knowledge from large language models into a general-purpose model. Gecko is trained using a novel approach on a variety of tasks including document retrieval, semantic similarity, and classification, and aims to be as general-purpose as it goes as well as highly performant. [Fix Your SDLC before Adopting Gen AI in Your Organisation: Bannonâs Call to Action at QCon London](
During her keynote at QCon London, Tracy Bannon, architect and researcher at MITRE, argued that AI will be able to enhance the software development lifecycle, though currently itâs at the âcode completionâ rather than âcode generationâ phase. Throughout her presentation, she continuously stresses the importance of keeping humans in the loop and fixing your companyâs SDLC before embracing AI. [] Top Presentations [Generative AI: Shaping a New Future for Fraud Prevention](
Neha Narkhede discusses a vision for fraud and risk management that leverages the advancements in generative AI.
[Neha Narkhede]( [Streaming Databases: Embracing the Convergence of Stream Processing and Databases](
Yingjun Wu discusses the evolution of streaming databases, and the features and design principles that set streaming databases apart from conventional database systems and stream processing engines.
[Yingjun Wu]( [Building Guardrails for Enterprise AI Applications W/ LLMs](
Shreya Rajpal introduces Guardrails AI, an open-source platform designed to mitigate risks and enhance the safety and efficiency of LLMs.
[Shreya Rajpal]( [Modern Compute Stack for Scaling Large AI/ML/LLM Workloads](
Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how CPUs and GPUs can be utilized.
[Jules Damji]( [Building better AI models with the Machine Learning Development Environment, by HPE](
ML engineers continually seek ways to enhance innovation and accelerate production timelines. This white paper explores how the HPE Machine Learning Development Environment simplifies ML model development, streamlines IT management of AI clusters, enables rapid model training, and more. [Download now](. Sponsored content [Building better AI models with the Machine Learning Development Environment, by HPE - Sponsored by HPE Ezmeral Software and Intel]( [] Top Podcasts [If LLMs Do the Easy Programming Tasks - How are Junior Developers Trained? What Have We Done?](
Michael Stiefel, Anthony Alford and Roland Meertens discuss the future of software development and the training of new developers, in a world where LLMs heavily contribute to software development.
[podcast]( [Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era](
In this podcast, Vitess CNCF project technical lead Deepthi Sigireddi discusses the architecture of cloud native distributed databases, sharding, replication, and failover.
[podcast]( [Navigating AI, Platform Engineering, and Staff-Plus: InfoQ Dev Summit Boston Preview](
In this InfoQ podcast, host Daniel Bryant sat down with speakers from the InfoQ Dev Summit Boston (June 24-25) and discussed the critical challenges and decisions developers are currently facing.
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