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