Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...

Many enterprises are realizing impressive productivity gains from large language models, but some are struggling with their choices because the compute is expensive, there are issues with the training ...

Many organizations are building generative AI applications driven by large language models (LLMs), but few are transitioning successfully from prototypes to production. According to an October 2023 ...

When OpenAI released ChatGPT in November 2022, it demonstrated the potential of generative AI for businesses. By 2024, the large language model space has rapidly expanded, with numerous models ...

How to decide what the model should handle, what your code should handle, and how to connect the two. A few years ago, the architecture of an AI application look like: send a prompt to a large ...

General-purpose large language models are convenient because businesses can use them without any special setup or customization. However, to get the most out of LLMs in business settings, ...

Since the introduction of OpenAI’s ChatGPT a little more than a year ago, large language models have captured the imagination of sales professionals, who are eager to see how generative artificial ...

We are in an exciting era where AI advancements are transforming professional practices. Since its release, GPT-3 has “assisted” professionals in the SEM field with their content-related tasks.

ChatGPT is still the default AI tool for most people, and for good reason - it’s fast and convenient, and also good enough at a broad range of tasks that you don’t really have to think twice about ...

One of the most energetic conversations around AI has been what I’ll call “AI hype meets AI reality.” Tools such as Semush One and its Enterprise AIO tool came onto the market and offered something we ...