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[flagged] Why (Senior) Engineers Struggle to Build AI Agents (philschmid.de)
10 points by danieloj 13 days ago | past | 11 comments
Practical Guide on how to build an Agent from scratch with Gemini 3 (philschmid.de)
2 points by ingve 19 days ago | past
The Rise of Subagents (philschmid.de)
3 points by chaosprint 24 days ago | past
Agents 2.0: From Shallow Loops to Deep Agents (philschmid.de)
1 point by gmays 36 days ago | past
Agents 2.0: From Shallow Loops to Deep Agents (philschmid.de)
2 points by FromTheArchives 54 days ago | past
Agents 2.0: From Shallow Loops to Deep Agents (philschmid.de)
2 points by mafro 54 days ago | past
AI Agent Benchmark Compendium (philschmid.de)
2 points by nkko 55 days ago | past
Agents 2.0: From Shallow Loops to Deep Agents (philschmid.de)
4 points by nkko 56 days ago | past
Agents 2.0: From Shallow Loops to Deep Agents (philschmid.de)
2 points by philschmidxxx 59 days ago | past
How Poke.com Subagents Work (philschmid.de)
1 point by philschmidxxx 86 days ago | past
Memory Overview for AI Agents (philschmid.de)
3 points by philschmidxxx 4 months ago | past
Google Gemini CLI Cheatsheet (philschmid.de)
2 points by tosh 4 months ago | past
Gemini-CLI-Cheatsheet (philschmid.de)
1 point by mario1870 4 months ago | past
Integrating Long-Term Memory with Gemini 2.5 (philschmid.de)
2 points by speckx 5 months ago | past
The new skill in AI is not prompting, it's context engineering (philschmid.de)
915 points by robotswantdata 5 months ago | past | 518 comments
Zero to One: Learning Agentic Patterns (philschmid.de)
1 point by sebg 7 months ago | past
Zero to One: Learning Agentic Patterns (philschmid.de)
3 points by FourSigma 7 months ago | past
Function Calling Guide: Google DeepMind Gemini 2.0 Flash (philschmid.de)
1 point by mariuz 9 months ago | past
Function Calling Guide: Gemini 2.0 Flash (philschmid.de)
3 points by alphabetting 9 months ago | past
From PDFs to Insights: Structured Outputs from PDFs with Gemini 2.0 (philschmid.de)
7 points by mariuz 9 months ago | past
From PDFs to Insights: Structured Outputs from PDFs with Gemini 2.0 (philschmid.de)
16 points by BOOSTERHIDROGEN 10 months ago | past
Mini-R1: Reproduce DeepSeek R1 "Aha Moment" (philschmid.de)
191 points by jonbaer 10 months ago | past | 15 comments
How Deepseek R1 Was Trained (philschmid.de)
31 points by amrrs 10 months ago | past | 3 comments
Fine-tune classifier with ModernBERT in 2025 (philschmid.de)
19 points by mcyc 11 months ago | past | 3 comments
How to fine-tune open LLMs in 2025 with Hugging Face (philschmid.de)
1 point by victormustar 11 months ago | past
LLM Evaluation doesn't need to be complicated (philschmid.de)
2 points by Bella-Xiang on July 12, 2024 | past
How to Fine-Tune LLMs in 2024 with Hugging Face (philschmid.de)
2 points by akashtndn on Jan 26, 2024 | past
Amazon Bedrock: How good (bad) is Titan Embeddings? (philschmid.de)
4 points by my123 on Nov 4, 2023 | past
Deploy Open LLMs Using Infrastructure as Code with AWS CDK (philschmid.de)
2 points by mariuz on Aug 18, 2023 | past
Extended Guide: Instruction-tune Llama 2 (philschmid.de)
1 point by _philschmid on July 26, 2023 | past

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