In the age of Generative AI, the landscape is flooded with buzzwords- LLM, Prompt Engineering, Tokens, Transformer, Encoding, Decoding, Mixture of Experts, LLMOps and the list goes on and on.
If you are in the technology space interested in Generative AI, are you familiar with these terms? Do you understand how Generative AI works?
If you are creating Generative AI use cases, are you creating them so that they can be trusted by your stakeholders, doesn’t have biases and hallucinations and fits within your budget for training and deployment ?
It is an interesting space, but don’t just read the hype.
Think about real use cases and the value Generative AI can provide. For example on camp says we don’t need developers anymore as Gen AI will do the coding. Really?
Watch this space as we try to debunk some of these myths and the hype. Generative AI is revolutionary. Understand the architecture, know the challenges and try to address them.