Capabilities Of Google LaMDA LaMDA is trained on 137 Billion parameters and with 1.56 Trillion publicly available words, dialogue data, and documents on the internet. On top of that, LaMDA is also ...

Google stopped short of releasing Gemma as fully open sourced, instead referring to it as an “open model.” That means the model's "weights," or pre-trained parameters, are available, but not ...

Google opens up LaMDA to the public, but it's launching with guardrails that aim to prevent it generating offensive responses.

PaLM is built on Google’s Pathway AI architecture. Click here to read this article to learn more about PaLM and what this means for GOOG stock investors.

Google DeepMind has officially launched Gemma 3n, the latest version of its lightweight generative AI model designed ...

Explore Gemma 3 by Google: AI models designed for creative writing, multilingual tasks, and multimodal processing with unmatched performance.

At I/O 2023, Google also announced a new LLM called Pre-training with Abstracted Language Modeling-2 (PaLM-2), which will be the underlying technology for many of its new AI tools, including Bard ...

AI is expensive. A search on Google's chatbot Bard costs the company 10 times more than a regular one, which could amount to several billion dollars.

The internet giant said it would begin testing its new chatbot, Bard, with a small, private group before releasing it to the public in the coming weeks.

Google's Gemini continues the dangerous obfuscation of AI technology The company's lack of disclosure, while not surprising, is made more striking by one very large omission: model cards. Here's why.

Like OpenAI’s GPT-3.5, the model behind ChatGPT, the engineers at Google have trained LaMDA on hundreds of billions of parameters, letting the AI “learn” natural language on its own.