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Engineering at Meta
engineering.fb.com
Engineering at Meta
·
1d
1 day ago
GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model
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Actions for GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model
Engineering at Meta
·
2w
2 weeks ago
Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization
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Actions for Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization
Engineering at Meta
·
3w
3 weeks ago
Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler
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Actions for Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler
Engineering at Meta
·
4w
4 weeks ago
Meta’s AI Storage Blueprint at Scale
Covered by
5 sources
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including
tldr.tech
,
blocksandfiles
Discussed on
Hacker News
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Actions for Meta’s AI Storage Blueprint at Scale
Engineering at Meta
·
5w
5 weeks ago
10 Years of Meta’s Commitment to Python
Covers
4 stories
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including
pypi.org - 605.5 kb
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Actions for 10 Years of Meta’s Commitment to Python
Engineering at Meta
·
5w
5 weeks ago
Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study
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Actions for Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study
Engineering at Meta
·
6w
6 weeks ago
How Meta Engineered Ultra-Narrow Batteries for AI Glasses
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Actions for How Meta Engineered Ultra-Narrow Batteries for AI Glasses
Engineering at Meta
·
6w
6 weeks ago
Adopting AV1 for Real-Time Communication (RTC) at Scale
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Actions for Adopting AV1 for Real-Time Communication (RTC) at Scale
Engineering at Meta
·
8w
8 weeks ago
Lights Out, Systems On: Validating Instant Power Loss Readiness
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Actions for Lights Out, Systems On: Validating Instant Power Loss Readiness
Engineering at Meta
·
10w
10 weeks ago
SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems
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Hacker News
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Actions for SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems
Engineering at Meta
·
11w
11 weeks ago
Reel Friends: Building Social Discovery that Scales to Billions
Covered by
何夕2077的个人站
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Actions for Reel Friends: Building Social Discovery that Scales to Billions
Engineering at Meta
·
12w
12 weeks ago
Migrating Data Ingestion Systems at Meta Scale
Covered by
InfoQ
,
Data Engineering Weekly
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Actions for Migrating Data Ingestion Systems at Meta Scale
Engineering at Meta
·
12w
12 weeks ago
Labyrinth 1.1: Making End-to-End Encrypted Backups Even More Reliable
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Actions for Labyrinth 1.1: Making End-to-End Encrypted Backups Even More Reliable
Engineering at Meta
·
13w
13 weeks ago
How Meta Is Strengthening End-to-End Encrypted Backups
Covered by
Make Tech Easier
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Actions for How Meta Is Strengthening End-to-End Encrypted Backups
Engineering at Meta
·
15w
15 weeks ago
Modernizing the Facebook Groups Search to Unlock the Power of Community Knowledge
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Actions for Modernizing the Facebook Groups Search to Unlock the Power of Community Knowledge
Engineering at Meta
·
15w
15 weeks ago
Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale
Discussed on
Hacker News
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Actions for Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale
Engineering at Meta
·
15w
15 weeks ago
Post-Quantum Cryptography Migration at Meta: Framework, Lessons, and Takeaways
Covered by
最新情報 Feed
Discussed on
Hacker News
,
Hacker News
, and
r/programming
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Actions for Post-Quantum Cryptography Migration at Meta: Framework, Lessons, and Takeaways
Engineering at Meta
·
16w
16 weeks ago
Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases
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Hacker News
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Actions for Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases
Engineering at Meta
·
16w
16 weeks ago
Trust But Canary: Configuration Safety at Scale
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Actions for Trust But Canary: Configuration Safety at Scale
Engineering at Meta
·
17w
17 weeks ago
How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines
Covered by
DEV Community
,
Data Engineering Weekly
Discussed on
Hacker News
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Actions for How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines
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