Optimizing Multimodal Agents
Multimodal AI agents, those who can process text and pictures (or other media), are rapidly entering real-world domains like autonomous driving, healthcare, and robotics. In these settings, we now have traditionally used...
accomplishments and qualifications, I'm seeing a lower yield of job application to interview, especially throughout the past 12 months or so. In common with others, I actually have considered Large Language Models (LLMs)...
applications of LLMs are those that I wish to call the “.” There are many viral LinkedIn posts about them, and so they all sound like this:
“I built that does in...
data all the time brings its own set of puzzles. Every data scientist eventually hits that wall where traditional methods begin to feel… limiting.
But what if you happen to could push beyond those limits...
ChatGPT something like: “Please scout all of tech for me and summarize trends and patterns based on what you think that I could be serious about,” you recognize that you simply’d get something...
refers back to the careful design and optimization of inputs (e.g., queries or instructions) for guiding the behavior and responses of generative AI models. Prompts are typically structured using either the declarative or...
is the science of providing LLMs with the proper context to maximise performance. Once you work with LLMs, you sometimes create a system prompt, asking the LLM to perform a certain task. Nonetheless,...
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The controversy around AI’s impact on tech careers has been polarizing—to place it...