Machine Learning Page 37

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Maksim Ilin

Oct 8

How I built Dantiva and AONETHA: one sentence in, a video out, and the first paying customers

#showdev #ai #startup #machinelearning

2 min read

Raimondas Lencevicius

Oct 8

Same bug, two IDs: an open RL dataset shares 15% of CyberGym's bugs, and a plain ID join misses 38% of them

#machinelearning #llm #security #ai

8 min read

siddhesh kabra

Oct 8

Local LLM on a Laptop: 7 Surprising Speed Facts

#ai #machinelearning #llm

8 min read

Alex B

Oct 12

One developer, one year, 1.8 billion rows: a point-in-time alternative-data platform

#datascience #python #machinelearning #finance

3 min read

Marco

Oct 8

SLX SynthForge on GitHub: AI for industrial vision

#ai #machinelearning #cpp #python

5 min read

Ricardo A. Oliveira

Oct 8

GPT-6 Astra: Raciocínio Corporativo, Autonomia Agêntica e Benchmarks de Fronteira

#ai #machinelearning #python #programming

11 min read

Kaggle Benchmarking Challenge Submission

Sasa

Oct 8

DeployGuard: Can AI Diagnose Deployment Logs Without Guessing?

#devchallenge #kagglechallenge #ai #machinelearning

6 min read

Ashish

Oct 8

The Download: AI “mind-reading” and creative uses for small batteries

#ai #machinelearning #programming #softwaredevelopment

4 min read

FX-LgLL

Oct 8

We open-sourced THX-01: a 322M decision model that matches Sonnet 5.5 on ticket classification at ~10 ms (Apache 2.0, pip install thx01)

#ai #opensource #machinelearning #llm

2 min read

Prabhakar Chaudhary

Oct 8

Fault-Tolerant Foundation Models: Training LLMs to Thrive on Unreliable Hardware

#ai #machinelearning #deeplearning #python

5 min read

Javier Leandro Arancibia

Oct 8

Your oldest head is probably your worst head (a 7M router post-mortem)

#ai #machinelearning #selfhosted #opensource

3 min read

siddhesh kabra

Oct 8

LLM Observability: 7 Critical Signals to Track

#ai #machinelearning #llm

7 min read

siddhesh kabra

Oct 8

LLM Evaluation: 7 Critical Methods That Actually Work

#ai #machinelearning #llm

7 min read

Georgii Kharlampiiev

Oct 12

A 26M-parameter tagger beat our fine-tuned small LLMs at grammar correction, and runs in ~4 ms on a phone

#machinelearning #ai #privacy #mobile

6 min read

Svitla Systems Inc.

Oct 8

RAG vs. Fine-tuning vs. Prompt engineering: 5 cues to choose the right approach for enterprise data

#ai #llm #machinelearning #rag

7 min read

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