Human DNA contains roughly 3 billion letters of genetic code. However, we understand only a fraction of what this vast ...

That’s around the same price as Gemini 2.5 Pro, which costs $2.50 per million input tokens and $15 per million output tokens. Importantly, Premier isn’t a “reasoning” model.

Even more striking, the o3-mini model costs just $1.10 per million input tokens and $4.40 per million output tokens, making it cheaper than even GPT-4o while providing much stronger performance on ...

Notably, AI startup Perplexity’s Deep Research model, which performs similarly on other benchmarks to OpenAI’s deep research, outperforms GPT-4.5 on this test of factual accuracy.

In Liu et al. (2020), an autoencoder was trained within a larger deep learning architecture with the goal of compressing and reconstructing the EEG data. Particularly, its input is given by the output ...

PydanticAI agents provide a structured, flexible way to interact with LLMs: • Model-agnostic: Agents can work with LLMs like OpenAI, Gemini, and Groq, with Anthropic support planned.

Just in time for Halloween 2024, Meta has unveiled Meta Spirit LM, the company’s first open-source multimodal language model capable of seamlessly integrating text and speech inputs and outputs ...

However, most existing autoencoder-based methods discard the reconstruction of auxiliary information, which poses a huge challenge for better representation learning and model scalability.

2 Materials and methods 2.1 SinGAN Shaham et al. (2019) proposed the SinGAN model, which is a non-conditional generative model that learns from a single image to generate images from noise. Like ...