Jerry emphasizes the importance of tooling and storage for large dataset management in AI, particularly LLMs. Tech stack knowledge is crucial for prompt retrieval, fine-tuning, and effective LLM use.
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RAG Webinar: Build Generative AI Workflows with Real-Time Data
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Join our upcoming webinar to learn how to use retrieval-augmented generation (#RAG) to build an end-to-end #generativeAI workflow using domain-specific, real-time data. Register now: https://
nvda.ws/46ZlLpe -
Essential Steps for Successful AI Projects: A Complete Guide
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Great article unpacking the steps for #AI projects. Crucial insights for #AIConsultants! Understand the Problem Data Collection & Prep Model Building Testing & Validation Deployment Monitoring & Maintenance
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Basic AI Privacy Protection More Urgent Than Exotic Regulations
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exotic new regulations that should be passed to address AI while they consider exotic problems like p(doom) or whatever, we're not doing some of the maybe basic things we need to do, which is perhaps just address you know basic privacy protection. /End alttext
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Senate Data Privacy Bill Stalls Without Vote
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with especially the American Data Privacy and Protection Act, finding bipartisan support, never getting a vote in the Senate. And again it's Senate Majority Leader Chuck Schumer. So if the Senate and and other lawmakers continue to look for maybe exotic new legislation or >>
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Federal Data Privacy Protection: Recent Progress and Policy Developments
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Altext for audiogram: The MAIHT3k logo, episode title and subtitle "Let's start with known protections from real risks". Captions read: JUSTIN HENDRIX: Federal data privacy: sorely needed and something that has come close to being possible just in the last year or so, >>
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DataAISummit 2024 Call for Presentations Deadline Friday
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The deadline to submit your presentation for #DataAISummit 2024 is this Friday! Data scientists, analysts, developers, #ML practitioners, and others attend Summit to hear from the world’s leading experts — and that could be you! Learn more here: https://
bit.ly/3sOkYt0 -
Can LLMs Replace Data Analysts Using Custom SQL Agents
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Can LLMs Replace Data Analysts? Getting Answers Using SQL This is an involved *31 minute read* on how to create a custom data science agent by Mariya Mansurova A great read for custom tools and custom agents (almost all production agents are custom) https://
towardsdatascience.com/can-llms-repla
ce-data-analysts-getting-answers-using-sql-8cf7da132259
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Oracle Cloud reduces inference latency 51% with NVIDIA Triton
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Explore how @OracleCloud uses NVIDIA Triton Inference Server to deliver its #computervision and #datascience services to enterprises across more than 45 regional data centers reducing #inference latency up to 51% and TCO by 10%.
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HiveMQ Enables Real-Time MQTT Data Processing for IoT
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Managing diverse data from IoT devices can be complex. @HiveMQ addresses this challenge with insights on modifying #MQTT data in flight for smarter processing. Read the article: https://
ow.ly/ksom50Qn3on #sponsored #hivemq_iiot #IoT #DataManagement #digitaltransformation @kuriharan