Effectively monitoring and optimizing your hashtag#LLMs is extremely crucial without which you are signing up for sub-optimal outputs at best & hashtag#legal, hashtag#compliance issue at worst. Here are latest takeaways from some very interesting researches: 
Review LLM inputs and outputs DAILY. Don’t let those sneaky hashtag#failure modes catch you off guard. Multiple agents can […]
Don’t Let Your AI Run Wild! Read More »
Meta just dropped their latest AI model, the Llama 3, and it’s kind of a big deal. They’ve got versions with 8 billion and a whopping 70 billion parameters. Here’s the scoop: So yeah, it sounds like Llama 3 was definitely worth the wait. Looks like Meta’s pushing the envelope on what these AI models
Are you looking to secure budgets for AI initiatives and scale your AI programs from pilot to production? Do you aim to get your data stack in order to facilitate this scaling effectively? Are you concerned about ensuring that AI deployments do not compromise your security posture? I have consistently stated throughout the last year,
IN A NUTSHELL SERIES: state of ai in 2023 Read More »
Episode 1: Understanding Large Language Models (LLMs) At their core, LLMs consist of two essential components in a hypothetical directory: -A parameter file, which is essentially a neural network functioning as a language model. -An executable code that operates the model; this could be written in Python or C for runtime execution. These neural networks
Generative AI Architecture for Executives: Insights from a Data Science Leader Read More »