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 […]
Understanding Large Action Models: Paving the way for action-oriented AI
The emergence of Large Language Models (LLMs) has caused a surge in AI-powered tools that are trained on vast textual data and can generate human-like text. This development can be seen as the first attempt at generative AI, where machines produce text that resembles human language. The next step would be for AI to execute […]
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.
