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Generative AI
✨ Generative AI
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GenAI, image generation, text generation, diffusion models
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🤖
AI Assistants
Redis
·
3d
3 days ago
Context
engineering
vs
prompt
engineering
: the real difference
Covers
2 stories
See all stories this covers
including
Effective context engineering for AI agents
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Actions for Context engineering vs prompt engineering: the real difference
🤖
AI Assistants
medium.com
·
2d
2 days ago
Supply Chain of the Mind: Design Patterns for Just-In-Time Context Pipelines in
LLM
Operations
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AI Assistants
medium.com
·
1d
1 day ago
No,
Prompt
Engineering
Isn’t Dead (You’re Just Doing It Wrong)
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Actions for No, Prompt Engineering Isn’t Dead (You’re Just Doing It Wrong)
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AI Assistants
medium.com
·
3d
3 days ago
Prompt
Engineering
: The Skill That Separates Average
AI
Users from Expert Practitioners
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Actions for Prompt Engineering: The Skill That Separates Average AI Users from Expert Practitioners
🧠
LLM Tooling
GitHub
·
2d
2 days ago
Generate
per-session
LoRA
adapters in <1s for agentic inference efficiency
Discussed on
Hacker News
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Actions for Generate per-session LoRA adapters in <1s for agentic inference efficiency
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AI Assistants
Hardware Secrets
·
4d
4 days ago
5 ChatGPT and
Prompt
Engineering
Courses That Help You Learn
AI
the Practical Way
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Actions for 5 ChatGPT and Prompt Engineering Courses That Help You Learn AI the Practical Way
⚡
LLM Optimization
intuitivepapers.ai
·
2d
2 days ago
The Geometry of Noise: Why
Diffusion
Models
Don't Need Noise Conditioning
Discussed on
Hacker News
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Actions for The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning
🗣️
Large Language Models
ai-brief.liziran.com
·
4d
4 days ago
榜单分预测不了部署，机械臂自迭代99%
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Actions for 榜单分预测不了部署，机械臂自迭代99%
🤖
AI Assistants
GitHub
·
2d
2 days ago
Show HN: Route
LLM
prompts
to cheapest capable
model
– pydantic-AI and litellm
Covered by
DEV Community
Discussed on
Hacker News
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Actions for Show HN: Route LLM prompts to cheapest capable model – pydantic-AI and litellm
🧠
LLM Tooling
GitHub
·
5d
5 days ago
Running a 35B MoE
model
on a 2017 AMD RX 580 8GB via Vulkan (no ROCm/CUDA)
Discussed on
Hacker News
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Actions for Running a 35B MoE model on a 2017 AMD RX 580 8GB via Vulkan (no ROCm/CUDA)
🔀
LoRA
arXiv
·
23h
23 hours ago
Memory-Efficient Policy Libraries with Low-Rank Adaptation in Reinforcement Learning
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Actions for Memory-Efficient Policy Libraries with Low-Rank Adaptation in Reinforcement Learning
🤖
AI Development
arXiv
·
23h
23 hours ago
The Hitchhiker's Guide to Agentic
AI
: From Foundations to Systems
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Actions for The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
🔬
AI for Science
arXiv
·
2d
2 days ago
ELDiff: When Evidential Learning Meets
Text-to-Image
Diffusion
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Actions for ELDiff: When Evidential Learning Meets Text-to-Image Diffusion
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AI Assistants
arXiv
·
2d
2 days ago
LLM-Aided
A* Search in Non-Geometric Network Graphs
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Actions for LLM-Aided A* Search in Non-Geometric Network Graphs
🗣️
Large Language Models
arXiv
·
1d
1 day ago
Scaling Laws for Task-Specific
LLM
Distillation
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Actions for Scaling Laws for Task-Specific LLM Distillation
🤖
Anthropic Claude API
arXiv
·
6d
6 days ago
BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in
modern
Text-to-image
Models
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Actions for BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models
🧠
LLM Engineering
arXiv
·
2d
2 days ago
Enhancing LLMs for Graph Tasks via Graph-aware
LoRA
Generation
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Actions for Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation
🗣️
Large Language Models
arXiv
·
6d
6 days ago
FloatDoor: Platform-Triggered Backdoors in LLMs
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Actions for FloatDoor: Platform-Triggered Backdoors in LLMs
🤖
Agentic Coding
arXiv
·
2d
2 days ago
Text-to-Image
Generative
AI for Modeling and Simulation: Methods, Opportunities, and Applications
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Actions for Text-to-Image Generative AI for Modeling and Simulation: Methods, Opportunities, and Applications
🗣️
Large Language Models
arXiv
·
2d
2 days ago
Can LLMs Reliably Self-Report Adversarial Prefills, and How?
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Actions for Can LLMs Reliably Self-Report Adversarial Prefills, and How?
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