
Future Tense: What Happens to a Data Scientist in an LLM World?
The role of data scientists is swiftly transforming and is probably being elbowed out by foundational models

The role of data scientists is swiftly transforming and is probably being elbowed out by foundational models

The introduction of various diffusion models is a massive leap in the right direction with an increase in fidelity and a reduction in the rendering time

These seemingly similar models can be confusing to understand to decide which one will be the right choice to apply for a particular setting.

Just as a large transformer model can be trained on language, similar models can be trained on pixel sequences to generate coherent image completions and samples.

A look at a few of the interesting algorithms from OpenAI in 2021

Transformers can help workers spend more time doing meaningful work and boost productivity.

The basic premise of BigGAN is simple; scale-up GAN training to benefit from larger models and larger batches.

OpenAI has released a 12-billion parameter version of GPT-3, called DALL.E, to generate images from text prompts. The name is a play on surrealist painter Salvador Dali and Pixar movie, WALL.E. DALL.E is a transformer language model built to receive both the text and the image as a single stream
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