The rush to AI-enable everything is understandable. No one wants to be the last business to figure out the obvious. Yet, this rapid mass embrace of immature, brittle tools which are frequently not ready for primetime is causing no shortage of heartburn for those in enterprise Information Technology. Three anecdotes serve to underscore the severity of the problem.
- Security / inadvertent exposure of private data. Despite some warnings to not put confidential / private information into ChatGPT, people frequently take confidential data and stick it into ChatGPT. What could go wrong? Well, ChatGPT might leak some of that data due to some services it in turn uses. No doubt OpenAI is a well run, professional organization, with a quick response, but what about all the other Open AI clones there?
- Operations / observability. The current stacks in wide use now aren’t really all that well suited for a new LLM-powered everything world. While there are plenty of monitoring and observability tools out there, the key consideration is in addressing the nuances specific to LLM-powered apps. That as of now is almost non-existent.
- Cost and performance. GPUs are expensive, and sometimes scarce. Training LLMs is cumbersome, complicated and costly. Per Clement Delangue, the CEO Hugging Face: the process of training the company’s Bloom large language model took more than two-and-a-half months and required access to a supercomputer that was “something like the equivalent of 500 GPUs.”
How and when you right size your cluster can lead to better utilization of your cloud spend Elastic Cloud cluster for ELK Stack = Easy Elastic Cloud makes deploying, operating, and scaling the Elasticsearch Stack (ELK) in the cloud easy. The Elastic Cloud is run by Elastic, the maker of Elasticsearch and related products. It runs in all the major
Speakers Description In this webinar we discuss MC+A’s new solution and approach for Intelligence Experiences for investigation use cases using LLM technology and machine learning. We demo how the solutions can act as a catalyst in expediting investigative processes. LLM technology assist with investigation due to its ability to understand, interpret, and analyze vast swathes of data, thereby aiding in
In this article, we’ll compare the performance of OpenAI’s API versus Microsoft’s API when utilizing GPT-4.
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