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AI
馃 AI
artificial intelligence, generative AI, LLMs, foundation models
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馃挰
LLMs
docs.mistral.ai
路
3d
3 days ago
Mistral
AI
Cookbooks
Covered by聽
3聽sources
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聽including聽
Mistral AI
,
VentureBeat
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Actions for Mistral AI Cookbooks
馃挰
LLMs
medium.com
路
10h
10 hours ago
Fine-Tuning
LLMs
Explained: From Base Models to Specialized AI Assistants
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Actions for Fine-Tuning LLMs Explained: From Base Models to Specialized AI Assistants
馃挰
LLMs
Data For Science
路
1d
1 day ago
Book Review:
LLMs
in Production: From
Language
Models
to Successful Products
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Actions for Book Review: LLMs in Production: From Language Models to Successful Products
馃挰
LLMs
medium.com
路
21h
21 hours ago
How Do You Evaluate
Large
Language
Models
? A Practical Guide
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Actions for How Do You Evaluate Large Language Models? A Practical Guide
馃挰
LLMs
medium.com
路
1d
1 day ago
Open Source ya Closed Source
LLMs
? Choosing Your
AI
Wisely
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Actions for Open Source ya Closed Source LLMs? Choosing Your AI Wisely
馃攣
MLOps
LeadDev
路
4d
4 days ago
You can vibe code a demo, but what about a product?
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Actions for You can vibe code a demo, but what about a product?
馃
Machine Learning
GitHub
路
15h
15 hours ago
GitHub
Covers聽
3聽stories
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聽including聽
MiniMax
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Actions for GitHub
馃挰
LLMs
The AI Frontier
路
2d
2 days ago
Open
models
don't need to be OpenAI
Discussed on
Substack
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Actions for Open models don't need to be OpenAI
馃
Machine Learning
Apple Machine Learning Research
路
19h
19 hours ago
Introducing Apple鈥檚 On-Device and Server
Foundation
Models
Covered by聽
5聽sources
See all sources covering this story
聽including聽
9to5Mac
,
Apple World Today
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Actions for Introducing Apple鈥檚 On-Device and Server Foundation Models
鈿栵笍
Data Ethics
Orca Security
路
2d
2 days ago
What Is
Generative
AI
in Cybersecurity?
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Actions for What Is Generative AI in Cybersecurity?
馃挰
LLMs
pyimagesearch.com
路
5d
5 days ago
Google DeepMind鈥檚
Gemma
4: MoE, Efficiency Tricks, and Benchmarks
Covers聽
7聽stories
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聽including聽
GitHub here . You can follow the build instructions below as well. Change -DGGML_CUDA=ON to -DGGML_CUDA=OFF if you don't have a GPU or just want CPU inferen...
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Actions for Google DeepMind鈥檚 Gemma 4: MoE, Efficiency Tricks, and Benchmarks
馃挰
LLMs
biorxiv.org
路
15h
15 hours ago
SPEAK: Spatial Prompting with Expert Aligned Knowledge for Tissue Domain Identification in Spatial Transcriptomics
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Actions for SPEAK: Spatial Prompting with Expert Aligned Knowledge for Tissue Domain Identification in Spatial Transcriptomics
馃挰
LLMs
arXiv
路
1d
1 day ago
Inherited Circuits, Learned Semantics: How
Fine-Tuning
Creates Evasion Vulnerabilities Invisible to Standard Evaluation
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Actions for Inherited Circuits, Learned Semantics: How Fine-Tuning Creates Evasion Vulnerabilities Invisible to Standard Evaluation
馃挰
LLMs
Ubuntu
路
6d
6 days ago
Developing web apps with local
LLM
inference
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Actions for Developing web apps with local LLM inference
鈿栵笍
Data Ethics
Hacker News
路
21h
21 hours ago
Blue print to let machines think like humans
Discussed on
Hacker News
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Actions for Blue print to let machines think like humans
馃挰
LLMs
nlnetlabs.nl
路
1d
1 day ago
NLNet Labs
LLM
Policy
Discussed on
Hacker News
and
Lobsters
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馃攣
MLOps
medium.com
路
20h
20 hours ago
What Business Books Don't Tell You: Decoding 5
AI
Adoption Mistakes That Cost Startups Millions
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Actions for What Business Books Don't Tell You: Decoding 5 AI Adoption Mistakes That Cost Startups Millions
馃挰
LLMs
medium.com
路
1d
1 day ago
What Are
Large
Language
Models
(LLMs)? How They Work
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Actions for What Are Large Language Models (LLMs)? How They Work
馃挰
LLMs
Nature
路
3d
3 days ago
clickBrick prompt engineering: optimizing
large
language
model
performance in clinical psychiatry
Covers聽
3聽stories
See all stories this covers
聽including聽
GitHub here . You can follow the build instructions below as well. Change -DGGML_CUDA=ON to -DGGML_CUDA=OFF if you don't have a GPU or just want CPU inferen...
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Actions for clickBrick prompt engineering: optimizing large language model performance in clinical psychiatry
馃挰
LLMs
Liquid AI
路
1d
1 day ago
LFM2.5-230M: Built to Run Anywhere
Covered by聽
tldr.tech
,
VentureBeat
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Actions for LFM2.5-230M: Built to Run Anywhere
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