-
1
The Latency Goldilocks Zone Explained
↗
-
2
Building MCP Before MCP Existed: Inside Despegar's Sofia Agent
↗
-
3
Voice Agent Use Cases
↗
-
4
The Creator of Superpowers: Why Real Agentic Engineering Beats Vibe Coding
↗
-
5
It's 2026, and We're Still Talking Evals
↗
-
6
Why Agents are Driving Software Development to the Cloud
↗
-
7
The Modern Software Engineer
↗
-
8
We Cut LLM Latency by 70% in Production
↗
-
9
Getting Humans Out of the Way: How to Work with Teams of Agents
↗
-
10
Fixing GPU Starvation in Large-Scale Distributed Training
↗
-
11
Spec Driven Development, Workflows, and the Recent Coding Agent Conference
↗
-
12
Operationalizing AI Agents: From Experimentation to Production // Databricks Roundtable
↗
-
13
arrowspace: Vector Spaces and Graph Wiring
↗
-
14
Agentic Marketplace
↗
-
15
Durable Execution and Modern Distributed Systems
↗
-
16
Performance Optimization and Software/Hardware Co-design across PyTorch, CUDA, and NVIDIA GPUs
↗
-
17
Serving LLMs in Production: Performance, Cost & Scale // CAST AI Roundtable
↗
-
18
The Future of Information Retrieval: From Dense Vectors to Cognitive Search
↗
-
19
Rethinking Notebooks Powered by AI
↗
-
20
Software Engineering in the Age of Coding Agents: Testing, Evals, and Shipping Safely at Scale
↗
-
21
Physical AI: Teaching Machines to Understand the Real World
↗
-
22
Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth
↗
-
23
Cracking the Black Box: Real-Time Neuron Monitoring & Causality Traces
↗
-
24
A Playground for AI/ML Engineers
↗
-
25
How Universal Resource Management Transforms AI Infrastructure Economics
↗
-
26
Conversation with the MLflow Maintainers
↗
-
27
Leadership on AI
↗
-
28
Computers that Think and Take Actions for You
↗
-
29
Real time features, AI search, Agentic similarities
↗
-
30
Tool definitions are the new Prompt Engineering
↗
-
31
The Future of AI Agents is Sandboxed
↗
-
32
Context engineering 2.0, Agents + Structured Data, and the Redis Context Engine
↗
-
33
Does AgenticRAG Really Work?
↗
-
34
How Sierra AI Does Context Engineering
↗
-
35
Overcoming Challenges in AI Agent Deployment: The Sweet Spot for Governance and Security // Spencer Reagan // #349
↗
-
36
Hardening Agents for E-commerce Scale: From RL Alignment to Reliability // Panel 2
↗
-
37
Building Cursor: A Fireside Chat with VP Solutions Ricky Doar
↗
-
38
Relational Foundation Models: Unlocking the Next Frontier of Enterprise AI // Jure Leskovec // #348
↗
-
39
Context Engineering, Context Rot, & Agentic Search with the CEO of Chroma, Jeff Huber
↗
-
40
Reliable Voice Agents
↗
-
41
The Future of AI Operations: Insights from PwC AI Managed Services
↗
-
42
GPU Uptime with VAST Data CTO
↗
-
43
The Evolution of AI in Cyber Security // Jeff Schwartzentruber // #344
↗
-
44
Thousands of Fine-Tuned Models
↗
-
45
The Semantic Layer and AI Agents // David Jayatillake // #343
↗
-
46
Building Claude Code: Origin, Story, Product Iterations, & What's Next // Siddharth Bidasaria // #342
↗
-
47
Building an Agentic AI Memory Framework
↗
-
48
LLMs at Scale: Infrastructure That Keeps AI Safe, Smart & Affordable // Marco Palladino// # 341
↗
-
49
Best AI Hackathon Project Ever? [Bite Size Episode]
↗
-
50
On-Device AI Agents in Production: Privacy, Performance, and Scale // Varun Khare & Neeraj Poddar // #340
↗
-
51
Are Evals Dead?
↗
-
52
The DuckLake Lakehouse Format // Hannes Mühleisen // #339
↗
-
53
How LiveKit Became An AI Company By Accident
↗
-
54
Economics of Building Data Centers, GPU Clouds, Sovereign AI
↗
-
55
Trust at Scale: Security and Governance for Open Source Models // Hudson Buzby // #338
↗
-
56
LLM Search, UI/UX challenges, Context Engineering and the 80/20 of Eval
↗
-
57
The Era of AI Agents in Marketing // Joel Horwitz // #337
↗
-
58
Distilling 200+ Hours of NeurIPS: What’s Next for AI // Nikolaos Vasiloglou // #336
↗
-
59
Building Coding Agents: Design Decisions, Prompting Tricks, GUI Anti-patterns
↗
-
60
A Candid Conversation with the CEO of Stack Overflow
↗
-
61
Knowledge is Eventually Consistent // Devin Stein // #335
↗
-
62
LinkedIn Recommender System Predictive ML vs LLMs
↗
-
63
GPU Considerations, Labeling Privacy, Rapid Fine Tuning, and the Role of Private Eval Pipelines to Benchmark New Models
↗
-
64
The Hidden Bottlenecks Slowing Down AI Agents
↗
-
65
9 Commandments for Building AI Agents
↗
-
66
Enterprise AI Adoption Challenges
↗
-
67
Real-time Feature Generation at Lyft // Rakesh Kumar // #334
↗
-
68
AI Agent Development Tradeoffs You NEED to Know
↗
-
69
From the Legal Trenches to Tech // Nick Coleman // #332
↗
-
70
The Rise of Sovereign AI and Global AI Innovation in a World of US Protectionism // Frank Meehan // MLOps Podcast #331
↗
-
71
A New Way of Building with AI
↗
-
72
Inside Uber’s AI Revolution - Everything about how they use AI/ML
↗
-
73
The Missing Data Stack for Physical AI
↗
-
74
AI Reliability, Spark, Observability, SLAs and Starting an AI Infra Company
↗
-
75
Greg Kamradt: Benchmarking Intelligence | ARC Prize
↗
-
76
Bridging the Gap Between AI and Business Data // Deepti Srivastava // #325
↗
-
77
The Creator of FastAPI’s Next Chapter // Sebastián Ramírez // #324
↗
-
78
Everything Hard About Building AI Agents Today
↗
-
79
Tricks to Fine Tuning // Prithviraj Ammanabrolu // #318
↗
-
80
Packaging MLOps Tech Neatly for Engineers and Non-engineers // Jukka Remes // #322
↗
-
81
Hard Learned Lessons from Over a Decade in AI
↗
-
82
Product Metrics are LLM Evals // Raza Habib CEO of Humanloop // #320
↗
-
83
Getting AI Apps Past the Demo // Vaibhav Gupta // #319
↗
-
84
Building Out GPU Clouds // Mohan Atreya // #317
↗
-
85
A Candid Conversation Around MCP and A2A // Rahul Parundekar and Sam Partee // #316 SF Live
↗
-
86
AI in M&A: Building, Buying, and the Future of Dealmaking // Kison Patel // #315
↗
-
87
AI, Marketing, and Human Decision Making // Fausto Albers // #313
↗
-
88
MLOps with Databricks // Maria Vechtomova // #314
↗
-
89
Making AI Reliable is the Greatest Challenge of the 2020s // Alon Bochman // #312
↗
-
90
Behavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311
↗
-
91
GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // Paco Nathan & Weidong Yang // #310
↗
-
92
AI Data Engineers - Data Engineering After AI // Vikram Chennai // #309
↗
-
93
I Am Once Again Asking "What is MLOps?" // Oleksandr Stasyk // #308
↗
-
94
How Sama is Improving ML Models to Make AVs Safer // Duncan Curtis // #307
↗
-
95
Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // Luca Fiaschi // #306
↗
-
96
Real-Time Forecasting Faceoff: Time Series vs. DNNs // Josh Xi // #305
↗
-
97
We're All Finetuning Incorrectly // Tanmay Chopra // #304
↗
-
98
From Shiny to Strategic: The Maturation of AI Across Industries // David Cox // #303
↗
-
99
Streaming Ecosystem Complexities and Cost Management // Rohit Agrawal // #302
↗
-
100
Fraud Detection in the AI Era // Rafael Sandroni // #301
↗
