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โ๏ธ Finetuning LLMs faster with less memory
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codeberg.org
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Monorepo Patterns
The magic wand that solves agent memory
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AI Pipeline design and techniques
CPUs, GPUs, NPUs, and TPUs: Choosing the Right Processing Unit for AI Workloads
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Smart Routing Saved Exa 90% on LLM Costs
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Simple finetuning LLMs
The Decade of Deep Learning (2019)
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Vector Databases
LLMs remain vulnerable to "jailbreaking" through adversarial prompts
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LLM frameworks and AI libraries for TypeScript
Add AI coding assistant configuration to Linux kernel
lore.kernel.org
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FastVLM: Efficient Vision Encoding for Vision Language Models
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Migrating to AI SDK v5: A Story of Tool Streaming, Caching, and Type Safety
braingrid.ai
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LLM frameworks and AI libraries for TypeScript
Performance of Threads vs. Processes
medium.com
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Poolside's Journey to AGI
poolside.ai
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Does it ever make sense to train for 10 epochs? Or did i do it all wrong?
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r/LocalLLaMA
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Java Async Profiler manual by use cases (2022)
krzysztofslusarski.github.io
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InstructVLA: Vision-Language-Action Instruction Tuning
yangs03.github.io
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Using Fortune to Reinforce Habits
judy.co.uk
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Lobsters
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Programming Language Escape Hatches
buttondown.com
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The Gory Details of Finetuning SDXL and Wasting $16k
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Simple finetuning LLMs
Inference-Time Techniques for High-Quality, Low-Latency Speech Generation
blog.play.ai
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Scaling Netflix's threat detection pipelines without streaming
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I Just Wanted a RAID Array
russ.har.mn
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r/selfhosted
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