How AI Is Built
Ukupno trajanje:
34 h 18 min
#050 Bringing LLMs to Production: Delete Frameworks, Avoid Finetuning, Ship Faster
How AI Is Built
66:57
#050 TAKEAWAYS Bringing LLMs to Production: Delete Frameworks, Avoid Finetuning, Ship Faster
How AI Is Built
11:01
#049 BAML: The Programming Language That Turns LLMs into Predictable Functions
How AI Is Built
62:39
#049 TAKEAWAYS BAML: The Programming Language That Turns LLMs into Predictable Functions
How AI Is Built
72:35
#048 TAKEAWAYS Why Your AI Agents Need Permission to Act, Not Just Read
How AI Is Built
07:07
#048 Why Your AI Agents Need Permission to Act, Not Just Read
How AI Is Built
57:03
#047 Architecting Information for Search, Humans, and Artificial Intelligence
How AI Is Built
57:22
#046 Building a Search Database From First Principles
How AI Is Built
53:29
#045 RAG As Two Things - Prompt Engineering and Search
How AI Is Built
62:44
#044 Graphs Aren't Just For Specialists Anymore
How AI Is Built
63:35
#043 Knowledge Graphs Won't Fix Bad Data
How AI Is Built
70:59
#042 Temporal RAG, Embracing Time for Smarter, Reliable Knowledge Graphs
How AI Is Built
93:44
#041 Context Engineering, How Knowledge Graphs Help LLMs Reason
How AI Is Built
93:35
#040 Vector Database Quantization, Product, Binary, and Scalar
How AI Is Built
52:12
#039 Local-First Search, How to Push Search To End-Devices
How AI Is Built
53:09
#038 AI-Powered Search, Context Is King, But Your RAG System Ignores Two-Thirds of It
How AI Is Built
74:24
#037 Chunking for RAG: Stop Breaking Your Documents Into Meaningless Pieces
How AI Is Built
49:13
#036 How AI Can Start Teaching Itself - Synthetic Data Deep Dive
How AI Is Built
48:11
#035 A Search System That Learns As You Use It (Agentic RAG)
How AI Is Built
45:30
#034 Rethinking Search Inside Postgres, From Lexemes to BM25
How AI Is Built
47:16
#033 RAG's Biggest Problems & How to Fix It (ft. Synthetic Data)
How AI Is Built
51:26
#032 Improving Documentation Quality for RAG Systems
How AI Is Built
46:37
#031 BM25 As The Workhorse Of Search; Vectors Are Its Visionary Cousin
How AI Is Built
54:05
#030 Vector Search at Scale, Why One Size Doesn't Fit All
How AI Is Built
36:26
#029 Search Systems at Scale, Avoiding Local Maxima and Other Engineering Lessons
How AI Is Built
54:47
#028 Training Multi-Modal AI, Inside the Jina CLIP Embedding Model
How AI Is Built
49:22
#027 Building the database for AI, Multi-modal AI, Multi-modal Storage
How AI Is Built
44:54
#026 Embedding Numbers, Categories, Locations, Images, Text, and The World
How AI Is Built
46:44
#025 Data Models to Remove Ambiguity from AI and Search
How AI Is Built
58:40
#024 How ColPali is Changing Information Retrieval
How AI Is Built
54:57
#023 The Power of Rerankers in Modern Search
How AI Is Built
42:29
#022 The Limits of Embeddings, Out-of-Domain Data, Long Context, Finetuning (and How We're Fixing It)
How AI Is Built
46:06
#021 The Problems You Will Encounter With RAG At Scale And How To Prevent (or fix) Them
How AI Is Built
50:09
#020 The Evolution of Search, Finding Search Signals, GenAI Augmented Retrieval
How AI Is Built
52:16
#019 Data-driven Search Optimization, Analysing Relevance
How AI Is Built
51:14
#018 Query Understanding: Doing The Work Before The Query Hits The Database
How AI Is Built
53:02
Season 2 Trailer: Mastering Search
How AI Is Built
04:16
#017 Unlocking Value from Unstructured Data, Real-World Applications of Generative AI
How AI Is Built
36:28
#016 Data Processing for AI, Integrating AI into Data Pipelines, Spark
How AI Is Built
46:26
#015 Building AI Agents for the Enterprise, Agent Cost Controls, Seamless UX
How AI Is Built
35:12