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Model Fine-tuning
⚙️ Model Fine-tuning
Transfer Learning, LoRA, PEFT, Adapter Training
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651
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5.1
ms
Fine-tuning
Multi-modal LLMs with ART:
Art-based
Reinforcement Training
🤖
LLM
Content type:
Academic
arxiv.org
·
21h
21 hours ago
Actions for Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
fc2
🤖
AI
yog.ink
·
4d
4 days ago
Actions for fc2
luciobaiocchi/heard: Offline group-safety mesh for hikers: ESP32 + GPS +
LoRa
, with a firmware-in-the-loop simulator and 3D replay viewer
⛓️
LangChain
Content type:
Code
github.com
·
5h
5 hours ago
·
Hacker News
Actions for luciobaiocchi/heard: Offline group-safety mesh for hikers: ESP32 + GPS + LoRa, with a firmware-in-the-loop simulator and 3D replay viewer
[NEW
MODEL
] SupraLabs just released Supra1.5-50M
Base
(Experimental)!
🤖
Transformers
huggingface.co
·
12h
12 hours ago
·
r/LocalLLaMA
Actions for [NEW MODEL] SupraLabs just released Supra1.5-50M Base (Experimental)!
Your ML
Model
Is Only as Good as the Dataset You Give It. Most Organisations Give It the Wrong One.
📊
Data Science
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Your ML Model Is Only as Good as the Dataset You Give It. Most Organisations Give It the Wrong One.
Predictive Processing: Conscious when
Training
🔍
RAG
lesswrong.com
·
1d
1 day ago
Actions for Predictive Processing: Conscious when Training
Fine
tuning
classification in Elixir
🤖
AI
elixirstatus.com
·
3d
3 days ago
Actions for Fine tuning classification in Elixir
If Claude Fable stops helping you, you’ll never know
🤖
AI
simonwillison.net
·
2d
2 days ago
·
Hacker News
Actions for If Claude Fable stops helping you, you’ll never know
Anthropic Apologizes For One of the Guardrails on Its Fable 5
Model
, and Will Change It
⛓️
LangChain
gizmodo.com
·
16h
16 hours ago
Actions for Anthropic Apologizes For One of the Guardrails on Its Fable 5 Model, and Will Change It
A new chapter of efficient foundation
models
for medical imaging
📈
Model Evaluation
techcommunity.microsoft.com
·
1d
1 day ago
Actions for A new chapter of efficient foundation models for medical imaging
New comment by hoppingturtles in "Ask HN: Who wants to be hired? (June 2026)"
📝
Natural Language Processing
drive.google.com
·
6d
6 days ago
·
Hacker News
Actions for New comment by hoppingturtles in "Ask HN: Who wants to be hired? (June 2026)"
DiffusionGemma: The Developer Guide- Google Developers Blog
🤖
AI
Content type:
Blog
developers.googleblog.com
·
2d
2 days ago
·
r/LocalLLaMA
Actions for DiffusionGemma: The Developer Guide- Google Developers Blog
Adapting
Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone
tuning
of Geospatial Foundation
Model
👁️
Computer Vision
Content type:
Academic
arxiv.org
·
21h
21 hours ago
Actions for Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model
Some Interesting Papers on RLVR
🤖
LLM
lesswrong.com
·
2d
2 days ago
Actions for Some Interesting Papers on RLVR
SuperBase Adds GPS, Compass, and OLED Display to Meshtastic
⛓️
LangChain
linuxgizmos.com
·
3d
3 days ago
Actions for SuperBase Adds GPS, Compass, and OLED Display to Meshtastic
Don't let the LLM speak, just probe it (8 minute read)
🤖
AI
Content type:
Blog
blog.j11y.io
·
1d
1 day ago
·
Hacker News
Actions for Don't let the LLM speak, just probe it (8 minute read)
Week Links [1st June 2026]
⛓️
LangChain
jackharrington.xyz
·
4d
4 days ago
Actions for Week Links [1st June 2026]
GPT-2: Too Dangerous To Release (2019)
🚀
MLOps
Content type:
Blog
naokishibuya.github.io
·
2d
2 days ago
·
Hacker News
Actions for GPT-2: Too Dangerous To Release (2019)
everest-an/M1: AwareLiquid — MT-LNN with cloud-augmented memory, deliberation router, capsule v2, and Φ̂ reasoning trace. Improved successor to O1 (clean MT-LNN prototype).
⛓️
LangChain
Content type:
Code
github.com
·
7h
7 hours ago
·
Hacker News
Actions for everest-an/M1: AwareLiquid — MT-LNN with cloud-augmented memory, deliberation router, capsule v2, and Φ̂ reasoning trace. Improved successor to O1 (clean MT-LNN prototype).
Three sleep intervals for three APIs: Steam 250ms, GitHub 100ms,
HuggingFace
none
⛓️
LangChain
Content type:
Reference
docs.github.com
·
5d
5 days ago
·
DEV
Actions for Three sleep intervals for three APIs: Steam 250ms, GitHub 100ms, HuggingFace none
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