Learn
Three ways we teach. None of them are a lecture.
Build Sessions
You show up, you build something real, you leave with it working. No slides-only sessions — every Build Session ends with something you can point to and say "I made that."
Autonomous Tool Loops From Scratch
Writing prompt parsers, schema definitions, and shell-execution dispatchers in pure Python with zero LangChain or external framework abstractions.
Weight Quantization for Consumer GPUs
Compiling llama.cpp with Metal/CUDA kernels and quantizing Mistral 7B to 4-bit precision so it runs on 8GB RAM laptops at 30+ tok/sec.
Hybrid Keyword + Vector Embedding Search
Building BM25 sparse index combined with dense vector retrieval using Reciprocal Rank Fusion (RRF) for accurate technical documentation search.
Edge SLMs on Embedded Systems
Stripping overhead from 1B-3B parameter models to run local inference loops on Raspberry Pi and low-wattage developer devices.
Structured JSON Extraction Without Halts
Enforcing strict CFG (Context-Free Grammar) state machines on raw token sampling logits to guarantee valid schema JSON output 100% of the time.
Deterministic Evals for LLM Applications
Replacing human "vibes" with reproducible unit tests, semantic assertion matrices, and synthetic benchmark suites before shipping to users.
Post-Mortems
Most tech content only shows you the finished, working version. We do the opposite — we break down what actually went wrong on a real project, live, so you learn what the polished tutorials skip.
The $1,400 Infinite Agent Loop
How a recursive tool-calling agent hallucinated error codes, retried itself indefinitely, and burned 80 million tokens overnight — and the circuit breaker pattern that stops it.
Why 90% of RAG Demos Break in Production
Chunking 500-token paragraphs destroys table hierarchies and tabular data. We look at real failing queries, dissect embedding cluster collisions, and rebuild the pipeline.
Prompt Injection in Multi-Tenant Apps
How user-uploaded resumes hijacked system prompts to leak other users' evaluations, and why simple regex filters fail against Unicode-encoded payloads.
OOM Crashes Under Concurrent Streaming
When 50 concurrent SSE connections exhaust server memory buffers during token generation. Profiling async coroutines, backpressure, and socket teardowns in Python.
Vector Drift in Long-Running Indexes
Why semantic cosine distances degrade when domain terminology evolves over six months, and how to detect stale embedding clusters before search quality crashes.
The Synthetic Fine-Tuning Collapse
How training a smaller model on unfiltered model outputs caused repetitive output loops and mode collapse after epoch 3 — and how data curation fixed it.
Ahead-of-the-Curve
By the time something's "officially supported," it's already mainstream. We cover what's two steps ahead — the tools, models, and techniques worth knowing before everyone else catches up.
Speculative Decoding Engines
Using small draft models to predict token sequences ahead of large verifier models, achieving 2x to 3x throughput speedups without losing mathematical accuracy.
State-Space Models & Mamba Architectures
Linear-time sequence modeling that eliminates quadratic attention bottlenecks for ultra-long context windows on hardware with constrained VRAM.
BitNet b1.58 1-Bit LLM Architectures
Ternary weights {-1, 0, 1} that replace matrix multiplication with pure integer additions, dropping energy consumption and enabling local execution on phones.
WebAssembly + WebGPU In-Browser Inference
Running vision and language models directly inside client web browsers via WebGPU compute shaders with zero server infrastructure overhead.
Direct Preference Optimization (DPO) Mechanics
Fine-tuning models on human preference pairs without training unstable reward models or reinforcement learning value heads.
Graph RAG & Knowledge Triplet Extraction
Connecting entities across document corpora using graph databases and Cypher queries to answer high-level thematic queries that vector search misses.
Ready to build one of these live?
We implement these tracks during our in-person sessions. View what we're running next on our Events page, or ask builders questions in our Community channels.