with the custom server feature? make sure the url they gave is accessible outside their network
CODE
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SAS Rick Wicklin Reader’s Choice Awards 2024 Programming Data
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SAS' Rick Wicklin wrote 80 posts for The DO Loop blog in 2024. Head over to his "Reader's Choice Awards" for some of the most popular entries of the year (hello, SAS programming, data visualization & statistics) http://
2.sas.com/6019aEGpc #SASusers #SAStip -

Deep Reinforcement Learning Hands-On Guide Third Edition
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Deep #ReinforcementLearning Hands-On — A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: http://
amzn.to/3MV9o60 [Third Edition] v/ @PacktPublishing ———
#AI #MachineLearning #DeepLearning #DataScience #DataScientist
———
𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: -

Convex Optimization: Best-Seller Guide to Numerical Solutions
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Convex Optimization (#1 best-seller in Linear Programming): https://
amzn.to/40gXKZA A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. Solutions are applicable to many fields, such as -

Llama 3.3 on SambaNova Cloud: 64K Token Context
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Step into 2025 with Llama 3.3 Explore context lengths of 64K tokens and build #Agents with other models — all on SambaNova Cloud! Need higher rate limits? Just let us know! Try it out now https://
cloud.sambanova.ai #Devs #AI -
AI-Assisted Coding for Web App Prototyping Best Practices
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Using AI-assisted coding to build software prototypes is an important way to quickly explore many ideas and invent new things. In this and future posts, I’d like to share with you some best practices for prototyping simple web apps. This post will focus on one idea: being
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Mastering RAG: Vector Databases and Prompt Engineering for AI Professionals
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This book is designed for AI researchers, data scientists, software developers, and business analysts looking to: Enhance data retrieval and AI accuracy using Retrieval-Augmented Generation (RAG). Master practical techniques like vector databases and prompt engineering.
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Generative AI and RAG: Enhance LLMs with Internal Data Integration
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative #AI systems by integrating internal data with large language models using RAG: https://
amzn.to/3PtFHdv v/ @PacktPublishing —————
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist #ad -

Building ClaireBot: AI Personal Stylist Chatbot Application
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Building ClaireBot, an AI Personal Stylist Chatbot https://
bit.ly/3BGrwys
#AI #MachineLearning #DeepLearning #LLMs #DataScience -

Microsoft’s Phi-4 14B Model Weights Now Publicly Available in LitGPT
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The model weights of Microsoft’s phi-4 14B LLM are now finally publicly available. Thanks to a kind community contribution, it’s now also available in LitGPT already (litgpt finetune microsoft/phi-4):
https://
github.com/Lightning-AI/l
itgpt/pull/1904
… I will have more to say about phi-4 in my upcoming AI