How to Build Effective Agentic Systems with LangGraph
Author(s): Eivind Kjosbakken Originally published on Towards AI. Create AI workflows with agentic frameworks With the rise of powerful AI models, such as GPT-5 and Gemini 2.5 Pro, we also see an increase in agentic frameworks to utilize these models. These frameworks …
How to Build Effective AI Agents to Process Millions of Requests
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to build production-ready systems using AI agents AI agents have quickly become an effective way of using LLMs for problem-solving. Almost weekly, you see a new large AI research lab releasing LLMs …
How to Context Engineer to Optimize Question Answering Pipelines
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to apply context engineering to enhance your question answering systems. I believe context engineering is one of the most relevant topics in machine learning today, which is why I’m writing my third …
How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques
Author(s): Eivind Kjosbakken Originally published on Towards AI. Optimize your AI search with RAG, contextual retrieval and evaluations Searching with AI has become prevalent since the introduction of LLMs in 2022. Retrieval augmented generation (RAG) systems quickly adapted to utilizing these efficient …
How to Perform Comprehensive Large-Scale LLM Validation
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to validate large-scale LLM applications Output validation and evaluations are critical to ensuring robust, high-performing LLM applications. However, such topics are often overlooked in the greater scheme of LLMs. This infographic highlights …
4 Context Engineering Techniques to Create Powerful LLM Applications
Author(s): Eivind Kjosbakken Originally published on Towards AI. Improve your LLM 50% by optimizing its context Context engineering is a powerful concept you can utilize to increase the effectiveness of your LLM applications. In this article, I elaborate on context engineering techniques …
Discovering Top 3 Frontier LLMs Through Benchmarking — Arc AGI 3
Author(s): Eivind Kjosbakken Originally published on Towards AI. Discovering Top 3 Frontier LLMs Through Benchmarking — Arc AGI 3 In the last few weeks, we have seen the release of powerful LLMs such as Qwen 3 MoE, Kimi K2, and Grok 4. …
How to 10x Productivity with AI
Author(s): Eivind Kjosbakken Originally published on Towards AI. Unlock 5 high-impact techniques to apply LLMs The development of LLMs has fundamentally changed the way we think and work. LLMs are powerful models that can automate tedious tasks, provide large-scale customer support, and …
Enhancing LLMs: 7 Context Engineering Strategies That Work in Production
Author(s): Eivind Kjosbakken Originally published on Towards AI. The benefits of context engineering for scaling LLMs to millions of outputs Not a Medium member? Find this article for free below: Learn how to enchance your LLM with powerful contexts. Image by ChatGPT.This …
How to Ensure Reliability in LLM Applications
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to make your LLM applications more robust LLMs have entered the world of computer science at a record pace. LLMs are powerful models capable of effectively performing a wide variety of tasks. …
Fine-Tuning VLLMs for Document Understanding
Author(s): Eivind Kjosbakken Originally published on Towards AI. In this article, I discuss how you can fine-tune VLMs (visual large language models, often called VLLMs) like Qwen 2.5 VL 7B. I will introduce you to a dataset of handwritten digits, which the …
How to Ensure Reliability in LLM Applications
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to make your LLM applications more robust LLMs have entered the world of computer science at a record pace. LLMs are powerful models capable of effectively performing a wide variety of tasks. …
How to Perform Effective Data Cleaning for Machine Learning
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how you can improve your machine learning models using effective data cleaning Data cleaning is arguably the most important step you can perform in your machine-learning pipeline. Without data, your model algorithm improvements …
How to Utilize OpenAI Whisper for Automated Transcriptions
Author(s): Eivind Kjosbakken Originally published on Towards AI. Streamline your computer interactions using OpenAI’s Whisper model Not a Medium member? Read the article for free below: In this article, I show you how you can utilize OpenAIs powerful Whisper model for automated …
How to Fine-tune Time Series Forecasting Models for Crypto Coins
Author(s): Eivind Kjosbakken Originally published on Towards AI. Predict the Future Value of Crypto Coins with Fine-tuned Time Series Forecasting Models This member-only story is on us. Upgrade to access all of Medium. In this article, I will show you how you …
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