Pondhouse Data Blog
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?
LLM Safety with Llama Guard 2
LLMs have transformed the way we interact with information. However, they also pose a safety & security risk. In this blog, we introduce Llama Guard 2, a safety tool that helps you secure your LLMs.
How to use AI to create a PowerPoint presentation?
AI and especially LLMs have been tremendously successful in generating text. In this blog post, we will show you how to use AI to create a PowerPoint presentation. And even how to tell AI to respect your PowerPoint template
What is the Google Vertex AI Agent Builder - A practical example: Google Search with Slack.
Google's new Vertex AI Agent Builder simplifies the creation and deployment of AI-powered agents, making AI development more accessible to businesses and developers. This blog describes its capabilities by creating a Slack RAG application.
BitNet: LLM Quantization at its Extreme
Microsofts 1-Bit quantization approach which boosts performance and efficency without compromising output quality
Chat with your Confluence: A Step-by-Step Guide using Airbyte, Langchain and PGVector
In this guide, we'll explore how to build an AI chatbot that interfaces with Confluence data, using Airbyte and Langchain for data integration and PGVector for storing our text embeddings. This practical walkthrough aims to provide clear, step-by-step instructions to enable you to set up and deploy your own LLM-powered chatbot
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 using them to retrieve relevant documents from the knowledge base.
GenAI: Technological Masterpiece or Ecological Disaster?
Since 2022 GenAI changed how we are working and already assists us in many ways. But is GenAI the revolutionary pathway to our future of worklife or is their carbon footprint the shurtcut to our ecological apocalypse?
11 Proven Strategies to Reduce Large Language Model (LLM) Costs
LLMs have become everyday tools for many businesses and individuals. However, the costs of running these models can quickly add up. In this guide, we will explore some strategies to help you save on LLM costs.
How to boost your database performance with OpenAIs new v3 embeddings
OpenAI has released its new embedding models, which have been trained using the new MRL technique. Discover how this not only enhances the accuracy of semantic searches but also can improve the performance of vector databases