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 […]
SIA: Your AI Assistant for Seamless Web-Based Automation
The pressure to keep up with the evolving technology of today’s fast-paced world is overwhelming. Staying ahead means continuously adapting to new software and systems. Traditional training methods can be time-consuming and inefficient, often taking months for employees to become fully proficient in new tools. Agile Loop’s intelligent and self-learning AI model SIA offers a […]
Have Businesses Finally Started Deriving Value from Gen AI in 2024?
Over the past decade, the journey towards generative AI has been gradual yet consistent, with significant progress in the last couple of years. While 2023 was the year generative AI (gen AI) became widely known, 2024 marked the point when organizations started leveraging it and experiencing tangible business value. In our fast-evolving tech world, AI […]
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 […]
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, […]
Introducing Actionable AI Agents
For a while, people have been talking about Artificial General Intelligence (AGI), which means AI will soon have the ability to handle any intellectual task within the domain of computers (maybe much more – but let’s focus on computers for now). Agile Loop’s AL OS1 is a big step toward exactly that. It brings Actionable […]
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 […]
