Archive | Language Model Resources

Build ReAct agents with LangGraph using hardcoded logic and LLM-powered reasoning to create adaptive AI systems.

Introduction Training large language models (LLMs) is an involved process that requires planning, computational resources, and domain expertise. Data scientists, machine learning practitioners, and AI engineers alike can fall into common training or fine-tuning patterns that could compromise a model’s performance or scalability. This article aims to identify five common mistakes to avoid when training […]

With large language model (LLM) products such as ChatGPT and Gemini taking over the world, we need to adjust our skills to follow the trend. One skill we need in the modern era is prompt engineering. Prompt engineering is the strategy of designing effective prompts that optimize the performance and output of LLMs. By structuring […]

The AI field is rapidly evolving, becoming one of the most dynamic areas within machine learning. However, while many focus on acquiring knowledge and certifications, one crucial aspect is often overlooked: hands-on practice. The ability to integrate and deploy AI models through APIs represents a fundamental skill in modern machine learning engineering, bridging the gap […]

Without any doubt, Large Language Models (LLMs) have emerged as one of the biggest AI breakthroughs in recent years: they excel in understanding and generating human-like text, making them versatile for a wide range of applications. Learning LLMs’ foundations and practical nuances may sound daunting to many, but this article is here to help. Keep […]

Large language models (LLMs) are super helpful in a variety of tasks. Building LLM-powered applications can seem quite daunting at first. But all you need are: the ability to code, preferably in Python or TypeScript and a few not-so-fun tasks or problems that you’d like to make simpler (I’m sure you have many!). To build […]

Large Language Models (LLMs) are a hot topic right now, and everyone is getting involved in this new trend. Companies are searching for LLM engineers who can develop and implement AI solutions to optimize their workflow and reduce costs through automation, customer service, recommendations, issue resolution, and debugging. Instead of worrying that AI will take […]

Introduction Large language models (LLMs) have become extremely prominent and useful for all sorts of tasks, but new users may find the large number of LLM tools and utilities intimidating. This article focuses on 5 of the available and widely-useful such tools, all of which are no-cost and created to help maturing minds take advantage […]