The Technician (Page 3)

Sign in Subscribe

More issues

Build your own voice assistant and run it locally: Whisper + Ollama + Bark

After my latest post about how to build your own RAG and run it locally. Today, we're taking it a step further by not only implementing the conversational abilities of large language models but also adding listening and speaking capabilities. The idea is straightforward: we are going to

Caching Strategies

In the fast-paced world of technology, the design of the system is the backbone of every scalable application. It is the very thing that assures your app can take growth, manage user demand, and serve them content efficiently. One of the secret sauces to achieve that is Caching—a concept

Database Scaling

As our data refineries grow in size and complexity, the need for efficient database scaling techniques becomes paramount. In this post, we'll dive into the world of database scaling, exploring the intricacies of indexing, replication, and partitioning/sharding. These techniques are the unsung heroes that keep our digital

State Of LLM In 2023: A Quick Recap On Latest Advancements

Okay, it's been more than a year since ChatGPT was released. Before this turning point, the research community and industry leaders were already actively working on generative AI, particularly in the realm of computer vision, with a series of stable diffusion findings and applications. To summarize briefly, 2022

NoSQL

This blog post peeks into the world of NoSQL databases, the unsung heroes in managing your digital assets. We'll explore what NoSQL is, its various types, popular examples, and the challenges they bring to the table. What is NoSQL? Imagine a world where data isn't confined

How to effectively evaluate your RAG + LLM applications

Hey there! Ever wondered how some of today's applications seem almost magically smart? A big part of that magic comes from something called RAG and LLM. Think of RAG (Retrieval-Augmented Generation) as the brainy bookworm of the AI world. It digs through tons of information to find exactly

Build your own RAG and run it locally: Langchain + Ollama + Streamlit

With the rise of Large Language Models and its impressive capabilities, many fancy applications are being built on top of giant LLM providers like OpenAI and Anthropic. The myth behind such applications is the RAG framework, which has been thoroughly explained in the following articles: Building RAG-based LLM Applications for

Relational Database

The history of relational databases stretches back to the 1970s, marking them as a time-tested method for structuring and accessing data. In the digital era, data is the lifeblood of companies, and efficient data storage becomes crucial as the amount of data skyrockets. Today, we will talk about foundational concepts

System Availability

In the world of system design, one of the most critical attributes that most architects aim to achieve is availability. Availability refers to the ability of a system to remain operational and accessible to users even in the face of various failures, disruptions, and maintenance activities. Ensuring high availability is

OpenAI DevDay: Opening keynote takeaways

Source: https://www.youtube.com/watch?v=U9mJuUkhUzk ChatGPT: * Now you can custom your own ChatGPT by GPT Builder with prompt, instruction, profile avatar, conversation-starting, and inductive knowledge. * You can share your customized chatbot on the GPT store, and earn money when people use it. * ChatGPT now chooses the response