Turn AI coding assistants into more reliable development partners Developers are increasingly relying on AI coding assistants to accelerate our daily workflows. These tools can autocomplete functions, suggest bug fixes, and even generate entire modules or MVPs. Yet, as many … Read more
When I grade students’ assignments, I sometimes see answers like this: Utilizing Euler angles for rotation representation could have the following possible downsides: Gimbal lock: In certain positions, orientations can reach a singularity, which prevents them from continuously rotating without … Read more
12 Sep 2024 • 4 min read Share this article Applications that use LLMs typically tend to use more than one model or provider, depending on your use case. This is because not all LLMs are built the same, while … Read more
Exploring the Limits: This blog takes readers on a journey through OpenAI’s containerized ChatGPT environment, uncovering the surprising capabilities that allow users to interact with the model’s underlying structure in unexpected ways. Sandbox Environment Insights: It dives into … Read more
In recent years, the costs associated with running large language models (LLMs) have fallen significantly, making advanced natural language processing techniques more accessible than ever before. The emergence of small language models (SLMs) like gpt-4o-mini has led to another order … Read more
In the tech industry, we frequently find ourselves caught up in the latest trends and buzzwords. One such trend that has recently gained popularity is “prompt engineering” — a practice that encourages crafting impeccable input messages to elicit desired output … Read more
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. … Read more
I participated in a webinar this morning about prompt injection, organized by LangChain and hosted by Harrison Chase, with Willem Pienaar, Kojin Oshiba (Robust Intelligence), and Jonathan Cohen and Christopher Parisien (Nvidia Research). The full hour long webinar recording can … Read more
“Prompt Engineering” emerged from the growth of language models to describe the process of applying prompting to effectively extract information from language models, typically for use in real-world applications. A lot of people who claim to be doing prompt engineering … Read more
Prompt injection: what’s the worst that can happen? Activity around building sophisticated applications on top of LLMs (Large Language Models) such as GPT-3/4/ChatGPT/etc is growing like wildfire right now. Many of these applications are potentially vulnerable to prompt injection. It’s … Read more