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Following another vehicle is the most common and basic driving activity. Following other cars safely lessens collisions and makes traffic flow more predictable. When drivers follow other vehicles on the road, the appropriate car-following model represents this behavior mathematically or computationally.
The availability of real-world driving data and developments in machine learning have largely contributed…
Workplaces and tech worldwide have dealt with the new normal before in different iterations. Each global crisis requires jobs and office cultures to shift and adapt to each unique event. Humanity has received its fair share of troubles in the last decade, forcing HR departments to see their industries with new perspectives. How will HR…
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In most companies, the accounts payable team is responsible for sending payments to vendors, customers, and other business partners. Opposite the AP team, the accounts receivable team is in charge of collecting outstanding payments from customers and business partners. These transactions – both incoming and outgoing payments – determine whether or not a business will…
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The onset of Graphical Processing Units (GPUs), and the exponential computing power they unlock, has been a watershed moment for startups and enterprise businesses alike.Â
GPUs provide impressive computational power to perform complex tasks that involve technology such as AI, machine learning, and 3D rendering.Â
However, when it comes to…
When LLMs are used to evaluate qualities like the correctness, accuracy, or relevance of a piece of text, consistency is paramount. If an LLM exhibits inconsistent judgements, then its evaluations become unreliable and untrustworthy. If an LLM evaluates the reasoning quality of arguments, but contradicts itself by rating an invalid argument as more logically sound…
Training robots to perform various manipulation behaviors has been made possible by imitation learning from human demonstrations. One popular method involves having human operators teleoperate with robot arms through various control interfaces, producing multiple demonstrations of robots performing different manipulation tasks, and then using the data to train the robots to perform these tasks independently.…
Robots are great specialists, but poor generalists. Typically, you have to train a model for each task, robot, and environment. Changing a single variable often requires starting from scratch. But what if we could combine the knowledge across robotics and create a way to train a general-purpose robot?
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OpenAI has been at the forefront of the latest advancements in AI, with its highly competent models like GPT and DALLE. When released, GPT-3 was a one-of-its-kind model with great language processing capabilities such as text summarization, sentence completion, and many others. The release of its successor, GPT-4, marked a significant shift in how we…