How Agile Loop Is Enhancing Video-Language AI for Workflow Automation
Ever wondered if AI could watch a video and break it down into a detailed, step-by-step guide for you? Based on our latest research at Agile Loop, this idea is becoming more practical than ever. Presented at NeurIPS 2024, the study, “ICE 1.0: Improved Video-Language Models for Low-Level Workflow Understanding from Human Demonstrations,” explores how […]
The Limitations of LLMs: Causal Inference, Logical Deduction, and Self-Improvement
Large Language Models (LLMs) like GPT-4 and Gemini have completely changed how we interact with technology. They’re great at generating text, translating languages, and even crafting poetry. But despite their impressive capabilities, LLMs have significant limitations, especially in casual inference, logical deduction, and self-improvement. Causal Inference: The Achilles’ Heel of LLMs One major shortcoming of […]
Want to Simplify On-Job Training? Master Any Software with Agile Loop’s STA
Learning new software can be a daunting task. The steep learning curves and time-consuming training programs are significant barriers to productivity, especially for new hires. Typically, fresh graduates take anywhere between 3 to 6 months to fully master software fundamentals; the cost of providing structured software training can amount to thousands of dollars for enterprises. […]
Automation using Neural Networks
Although automation is not a new concept, it is interesting to think about how processes can be automated. We all agree that today most people want everything done for them by just speaking to their devices in natural language. With things that take minutes to complete automatically, why should we spend hours on them? Neural […]
LLM Red Teaming – What is it and Why is it Important?
Large Language Models (LLMs), like GPT-4 and Gemini, are game-changers in the tech world, making huge leaps in natural language understanding, generation, and various applications from chatbots to automated content creation. However, safety and reliability have to be ensured for responsible deployment, as these models have been found to exhibit biases, provide misinformation or hallucinations, […]
Is GPT-4o Winning the AI Assistant Battle Without Actions?
The landscape of artificial intelligence is evolving at breakneck speed, with new models and developments emerging regularly. Among these, OpenAI’s GPT-4o has attracted considerable attention. Yet, despite its advancements, can it truly claim to be winning the AI assistant battle without incorporating “action” capabilities? In this blog, we will dive deep into GPT-4o’s capabilities, and […]
The Rise of No-Code AI
In this day and age, AI is changing how we interact with technology big time. And guess what? No-code AI has made tech accessible to everyone, not just the tech-savvy folks. Anyone can now leverage AI, with or without any prior technical knowledge. Imagine doctors improving patient care, businesses stepping up operational efficiency, and individuals […]
Can Large Language Models Understand Intent and Help With Decision Making?
We’re in a time where we’re discovering more about advanced artificial intelligence (AI) every day and large language models (LLMs) seem to be actively creating our future. LLMs are leading the way in understanding our intent and helping with decision-making in different areas. But what exactly does it mean for language models to comprehend intent, […]
AL OS1 – AI Agents Capable of Operating Software Devices.
Even the smallest news or updates from leading AI companies can ignite a frenzy of discussion and anticipation among enthusiasts and professionals alike. As news of OpenAI’s new product regarding AI agents that can take over users’ devices to perform complex tasks is spreading at lightning speed, the mere thought of AI agents taking over […]
Shifting the focus from LLMs to LMMs to LAMs
Agile Loop is leveraging large action models to shift the focus towards a new type of operating system—AL OS1.
