Professional Tips: 8 - Detailed Analysis

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Yuji Kobayashi

Oct 13

DINO-EdgeQuery: Learning Building Edges and Their Connections for GIS-Ready Polygons

#geoai #deeplearning #transformer #dinov3

15 min read

Dinesh Kumar Sarangapani

Oct 11

Section 1: The dataset and the problem

#ai #data #deeplearning #machinelearning

6 min read

Mitansh Gor

Oct 10

RL 6: Pleasure-Seeking Neurons and the Birth of Backpropagation (1972–1980)

#rl #machinelearning #deeplearning #ai

13 min read

Marita P

Oct 11

Keeping Two Faces From Swapping Mid-Verse: Identity Preservation in AI Music Videos

#ai #deeplearning #machinelearning #softwareengineering

4 min read

Daniel Sam Pete Thiyagu

Oct 10

100,000 Videos in Your Pocket: How Douyin's Recommender Reads Your Whole Life in O(1)

#ai #machinelearning #deeplearning #datascience

7 min read

Dinesh Kumar Sarangapani

Oct 10

Section 3a: f-divergences

#ai #deeplearning #machinelearning

8 min read

Dinesh Kumar Sarangapani

Oct 10

Section 1: The dataset and the problem

#ai #deeplearning #machinelearning

6 min read

Akash

Oct 9

From Attention to a Working Language Model

#machinelearning #deeplearning #llm #nlp

13 min read

Freddy Lécué for Daily Context

Oct 11

Why Smaller AI Models Can Win in the Enterprise

#aie #machinelearning #gpu #deeplearning

2 min read

Felipe 0liveira

Oct 9

GRPO leaves the chatbot and starts fixing OCR, while DPO and GRPO get debugged from the inside

#ai #deeplearning #llm #machinelearning

6 min read

Prabhakar Chaudhary

Oct 9

EmbeddingGemma 2: How Google's Open Multimodal Embedding Model Works

#ai #machinelearning #deeplearning #opensource

5 min read

Daniel Sam Pete Thiyagu

Oct 8

Only 3% of the Brain Wakes Up: The Mixture-of-Experts Playbook Behind September's Biggest Models

#ai #machinelearning #deeplearning #llm

6 min read

Parth Maniar

Oct 8

Fine-tuning EfficientNetB0 for 104 flower classes: validation vs held-out test scores, honestly

#machinelearning #python #deeplearning

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

Daniel Sam Pete Thiyagu

Oct 7

The Model That Doesn't Talk

#ai #machinelearning #deeplearning #datascience

5 min read

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DEV Community

Deep Learning

DINO-EdgeQuery: Learning Building Edges and Their Connections for GIS-Ready Polygons

Section 1: The dataset and the problem

RL 6: Pleasure-Seeking Neurons and the Birth of Backpropagation (1972–1980)

Keeping Two Faces From Swapping Mid-Verse: Identity Preservation in AI Music Videos

100,000 Videos in Your Pocket: How Douyin's Recommender Reads Your Whole Life in O(1)

Section 3a: f-divergences

Section 1: The dataset and the problem

From Attention to a Working Language Model

Why Smaller AI Models Can Win in the Enterprise

GRPO leaves the chatbot and starts fixing OCR, while DPO and GRPO get debugged from the inside

EmbeddingGemma 2: How Google's Open Multimodal Embedding Model Works

Only 3% of the Brain Wakes Up: The Mixture-of-Experts Playbook Behind September's Biggest Models

Fine-tuning EfficientNetB0 for 104 flower classes: validation vs held-out test scores, honestly

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

The Model That Doesn't Talk