corpus.blog
41554 blogs · [ { "id": "01a087e5-9f51-723c-9254-6cbb0f60cf70", "title": "Engineering with AI agents II", "url": "https://steffenhaeussler.github.io/posts/2026-06-28-engineering_ai_2/engineering/", "published_at": "2026-07-12T09:20:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1008dc67", "title": "Engineering with AI agents", "url": "https://steffenhaeussler.github.io/posts/2026-06-14-engineering_ai/engineering/", "published_at": "2026-06-13T09:20:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb10eec8ad", "title": "Overview of Agentic AI", "url": "https://steffenhaeussler.github.io/posts/2026-06-01-overview_agents-/agents/", "published_at": "2026-06-01T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb119ce97d", "title": "Agentic Design Patterns", "url": "https://steffenhaeussler.github.io/posts/2026-05-05-agentic-design-patterns/agentic_patterns/", "published_at": "2026-05-05T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1240e6c1", "title": "Fine-tuning the generative part of a RAG", "url": "https://steffenhaeussler.github.io/posts/2026-04-01-generative/gen_llm/", "published_at": "2026-04-01T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb124d562a", "title": "Fine-tuning a ReRanker", "url": "https://steffenhaeussler.github.io/posts/2026-03-20-reranker/reranker/", "published_at": "2026-03-20T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1275101c", "title": "Training an embedding model", "url": "https://steffenhaeussler.github.io/posts/2026-01-09-contrastive/contrastive/", "published_at": "2026-01-09T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb12e7904b", "title": "This year's recap v2", "url": "https://steffenhaeussler.github.io/posts/2025-12-29-recap/recapv2/", "published_at": "2025-12-29T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb13785785", "title": "This year's recap", "url": "https://steffenhaeussler.github.io/posts/2025-12-12-recap/recap/", "published_at": "2025-12-12T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1422e144", "title": "Building Agents & LLM Workflows", "url": "https://steffenhaeussler.github.io/posts/2025-07-30-hackerroom/hackerroom/", "published_at": "2025-07-30T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb14d3cde1", "title": "Evaluation of RAG Systems", "url": "https://steffenhaeussler.github.io/posts/2025-04-30-metrics/metrics/", "published_at": "2025-04-30T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb14e9385a", "title": "Understanding approximate nearest neighbor algorithm", "url": "https://steffenhaeussler.github.io/posts/2025-04-19-ann/ann/", "published_at": "2025-04-19T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1575dcae", "title": "Short example of Information Retrieval", "url": "https://steffenhaeussler.github.io/posts/2025-03-10-retrieval/retrieval/", "published_at": "2025-03-10T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb15ffe467", "title": "Get embeddings for multiple data sources", "url": "https://steffenhaeussler.github.io/posts/2025-01-02-embeddings/embeddings/", "published_at": "2025-01-02T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb16fc53e3", "title": "Overview of RAG (Retrieval-Augmented Generation) systems", "url": "https://steffenhaeussler.github.io/posts/2024-12-27-overview/rag_overview/", "published_at": "2024-12-27T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb16ff88a6", "title": "Deep Learning model explainability", "url": "https://steffenhaeussler.github.io/posts/2023-12-08-dl-explainability/dl_model_explainability/", "published_at": "2023-12-08T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb17da0929", "title": "Model explainability", "url": "https://steffenhaeussler.github.io/posts/2023-11-21-explainability/model_explainability/", "published_at": "2023-11-21T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb18879ec7", "title": "Implementing a Transformer Network from scratch", "url": "https://steffenhaeussler.github.io/posts/2023-08-28-transformer/transformer/", "published_at": "2023-08-28T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb19169f81", "title": "Learning about time-series analysis", "url": "https://steffenhaeussler.github.io/posts/2023-08-15-timeseries/time_series/", "published_at": "2023-08-14T23:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1a13fd6e", "title": "Endpoint validation", "url": "https://steffenhaeussler.github.io/posts/2023-08-07-pydantic/pydantic/", "published_at": "2023-08-07T08:30:50+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1a254572", "title": "Fast data transfer to or from s3", "url": "https://steffenhaeussler.github.io/posts/2023-04-27-s3/s3/", "published_at": "2023-04-27T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1ac854f8", "title": "Training a language model from scratch", "url": "https://steffenhaeussler.github.io/posts/2023-04-21-training/llm/", "published_at": "2023-04-15T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1b0ed7ce", "title": "Cookie-cutter Problems", "url": "https://steffenhaeussler.github.io/posts/2023-04-10-cookie/cookiecutter/", "published_at": "2023-04-10T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1bebc636", "title": "Stratified multi-label split", "url": "https://steffenhaeussler.github.io/posts/2023-04-09-stratified/multi_label_split/", "published_at": "2023-04-08T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1ca373c2", "title": "Understanding scaled-dot product attention and multi-head attention", "url": "https://steffenhaeussler.github.io/posts/2023-03-19-attention/attention_layer/", "published_at": "2023-03-18T09:30:58+00:00" }, { "id": "01a087e5-9f51-723c-9254-6cbb1d234e9e", "title": "The importance of building things by yourself", "url": "https://steffenhaeussler.github.io/posts/2023-03-05-first/first/", "published_at": "2023-03-05T22:30:58+00:00" } ] posts Claim your blog
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Blog · corpus.blog/blogs/steffenhaeussler.github.io/posts

About me

steffenhaeussler.github.io

2026

Engineering with AI agents IIoriginal ↗
12 Jul 2026
Engineering with AI agentsoriginal ↗
13 Jun 2026
Overview of Agentic AIoriginal ↗
1 Jun 2026
Agentic Design Patternsoriginal ↗
5 May 2026
Fine-tuning the generative part of a RAGoriginal ↗
1 Apr 2026
Fine-tuning a ReRankeroriginal ↗
20 Mar 2026
Training an embedding modeloriginal ↗
9 Jan 2026

2025

This year's recap v2original ↗
29 Dec 2025
This year's recaporiginal ↗
12 Dec 2025
Building Agents & LLM Workflowsoriginal ↗
30 Jul 2025
Evaluation of RAG Systemsoriginal ↗
30 Apr 2025
Understanding approximate nearest neighbor algorithmoriginal ↗
19 Apr 2025
Short example of Information Retrievaloriginal ↗
10 Mar 2025
Get embeddings for multiple data sourcesoriginal ↗
2 Jan 2025

2024

Overview of RAG (Retrieval-Augmented Generation) systemsoriginal ↗
27 Dec 2024

2023

Deep Learning model explainabilityoriginal ↗
8 Dec 2023
Model explainabilityoriginal ↗
21 Nov 2023
Implementing a Transformer Network from scratchoriginal ↗
28 Aug 2023
Learning about time-series analysisoriginal ↗
14 Aug 2023
Endpoint validationoriginal ↗
7 Aug 2023
Fast data transfer to or from s3original ↗
27 Apr 2023
Training a language model from scratchoriginal ↗
15 Apr 2023
Cookie-cutter Problemsoriginal ↗
10 Apr 2023
Stratified multi-label splitoriginal ↗
8 Apr 2023
Understanding scaled-dot product attention and multi-head attentionoriginal ↗
18 Mar 2023
The importance of building things by yourselforiginal ↗
5 Mar 2023