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Pondhouse Data
Explore the latest in AI with a focus on Retrieval Augmented Generators and Large Language Models. Find practical guides and stay updated on trends and tools that are shaping the future of technology.
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Improving Retrieval Augmented Generation
Improving Retrieval Augmented Generation
A Step-by-Step Evaluation of RAG Pipelines
Sascha Gstir
May 13
How to Set Up a Secure, Self-Hosted Large Language Model with vLLM & Caddy
How to Set Up a Secure, Self-Hosted Large Language Model with vLLM & Caddy
Running your own LLM provides a lot of flexibility and control over your data. This guide introduces you to the seamless integration of…
Sascha Gstir
May 13
Advanced RAG: Increase RAG Quality with ColBERT Reranker and llamaindex
Advanced RAG: Increase RAG Quality with ColBERT Reranker and llamaindex
Finding the right documents during retrieval is probably the most important aspect of your RAG pipeline. This guide demonstrates how to use…
Sascha Gstir
May 13
LLM Safety with Llama Guard 2
LLM Safety with Llama Guard 2
LLMs have transformed the way we interact with information. They transformed the way we think and design automations. In short, they have…
Sascha Gstir
May 27
Extract data from documents using Large Language Models
Extract data from documents using Large Language Models
The more we work with AI, the more we need to extract data from documents. In a scalable manner. While conventional and machine learning…
Sascha Gstir
Jul 2
How to finetune Llama 3 on consumer GPUs
How to finetune Llama 3 on consumer GPUs
Large Language Models (LLMs) have proven themselves as powerful tools capable of understanding and generating human-like text across a wide…
Sascha Gstir
Jul 2
Using AI directly from your database — with PostgreSQL and pgai
Using AI directly from your database — with PostgreSQL and pgai
AI is transforming the way we create applications and interact with data. Almost every application needs some form of AI nowadays. Every…
Sascha Gstir
Jun 16
KAN: Is this the end of feedforward networks?
KAN: Is this the end of feedforward networks?
MLPs are the backbone of the the most powerful AI models we know, but are KAN the next revolutionary step which will replace them?
Sascha Gstir
May 27
How to use AI to create a PowerPoint presentation?
How to use AI to create a PowerPoint presentation?
LLMs have been tremendously successful in generating text. In this post, we will show you how to use AI to create a PowerPoint presentation
Sascha Gstir
May 15
What is the Google Vertex AI Agent Builder?
What is the Google Vertex AI Agent Builder?
A practical example: Google Search with Slack.
Sascha Gstir
May 13
Advanced RAG: Improving Retrieval-Augmented Generation with Hypothetical Document Embeddings (HyDE)
Advanced RAG: Improving Retrieval-Augmented Generation with Hypothetical Document Embeddings (HyDE)
HyDE is a technique used to improve the performance of RAG models by generating hypothetical document embeddings based on the query and…
Sascha Gstir
May 13
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