Can Google's Gemini Catch Up to ChatGPT?

The landscape of large language models (LLMs) is heating up with Google's Bard entering the scene to compete with OpenAI's GPT-3.5 (now Bard).
Here's a quick breakdown of what we know so far:
Bard: Currently in beta, with features similar to GPT-3.5 but potentially 6-10 months behind in development. Free basic version with a $20/month premium option offering additional capabilities.
OpenAI Bard: Free base version with a premium "Ultra Advance" option for $20/month. Offers text-to-image generation like DALL-E 2 and handles large volumes of text better than Bard currently does.
Key differences to consider:
Pricing: Both offer free basic versions and premium tiers at similar price points. However, Bard throws in additional perks like Google One storage and cashback to incentivize the premium option.
Capabilities: OpenAI Bard currently handles large text volumes and image generation better, while Bard might have an edge in future integration with Google products like KZbin and Gmail.
Adoption potential: Google's existing user base in Workspace and Docs might give them an advantage in adoption due to easier integration and familiarity.
What does this mean for the future of LLMs?
Competition is good for everyone! More choices, more innovation, and ultimately, more advanced language models with wider accessibility. This battle between Bards is just the beginning, and it will be exciting to see how they evolve and push the boundaries of what's possible.
I'm curious to hear your thoughts!
Have you tried either Bard model?
What features are most important to you in an LLM?
#LLM #AI #languagemodel