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๐Ÿ“Š Feed Optimization

Content Scoring, User Modeling, Engagement Prediction, Algorithm Tuning

How to use Gemini 2.5 to fine-tune video outputs on Vertex AI
cloud.google.comยท22h
๐Ÿง LLM Inference
AI-personalized news takes new forms (but do readers want it?)
niemanlab.orgยท20h
๐Ÿ“ฐRSS Reading Practices
What LLMs Know About Their Users
schneier.comยท3h
๐Ÿช„Prompt Engineering
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.orgยท10h
๐Ÿ“ŠVector Databases
Topic Segmentation: The Next Step
askthegame.bearblog.devยท11h
๐Ÿ”ƒFeed Algorithms
Microsoft adds app placement controls to Audience campaigns
searchengineland.comยท23h
๐Ÿ˜ŠEmojis
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.comยท22hยท
Discuss: Hacker News
๐Ÿ•ฏ๏ธCandle
Build a Personalized AI Assistant with Postgres
supabase.comยท7h
๐Ÿ’พPrompt Caching
AI won't live on publisher sites
werd.ioยท12hยท
Discuss: Hacker News
๐Ÿ†•New AI
Practical tips to optimize documentation for LLMs, AI agents, and chatbots
biel.aiยท19hยท
Discuss: Hacker News
๐Ÿ‘จโ€๐Ÿ’ปAI Coding
The 20+ most common AI terms explained, simply
threadreaderapp.comยท22h
๐Ÿง LLM Inference
6 Key Security Risks in LLMs: A Platform Engineerโ€™s Guide
thenewstack.ioยท19h
๐Ÿ•ณLLM Vulnerabilities
๐Ÿ’ฅ Tech Talks Weekly #65: Andrej Karpathy - Software Is Changing (Again)
techtalksweekly.ioยท6mยท
Discuss: r/programming
๐Ÿช„Prompt Engineering
Introduction to Problem of Language Modeling
infinitely-fallible.bearblog.devยท17h
๐Ÿง LLM Inference
The more LLMs think, the worse they translate
nuenki.appยท2hยท
Discuss: Hacker News
๐Ÿ†LLM Benchmarking
Analyzing A Critique Of The AI 2027 Timeline Forecasts
lesswrong.comยท19h
๐Ÿ†•New AI
Introducing ByteDance's Revolutionary Seedance 1.0 AI Video Generation Model
sheaupei.comยท15m
๐Ÿ”ƒFeed Algorithms
An AI-powered process to diagnose E-E-A-T issues
searchengineland.comยท1h
๐Ÿ“ŠSearch Ranking
Greedy Is Good. Less Greedy May Be Better
gojiberries.ioยท13hยท
Discuss: Hacker News
๐Ÿ†LLM Benchmarking
0-$5M: How to Go From Random Wins to Repeatable Revenue
review.firstround.comยท46m
๐Ÿ‘จโ€๐Ÿ’ปSolo SaaS
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