AssemblyAI

MARCH 7, 2023

In addition to these steady quantitative improvements, the scaling process also leads to interesting qualitative behavior. While the fact that LLMs gain these abilities as they scale is remarkable, it is the manner in which they appear that is especially interesting. To illustrate this idea, let's take an example from physics.

Large Language Models 363

Large Language Models OpenAI Neural Network AI 363

deepsense.ai

FEBRUARY 28, 2024

Their applications range from answering questions based on provided documents or knowledge bases (so-called retrieval-augmented generation, or RAG for short), to text summarization, content creation, coding assistants and more. It should now be easy to calculate how much is needed to serve the largest Llama 2 model with 70 billion parameters!

Generative AI 104

Generative AI LLM Neural Network Algorithm 104

Shreyansh Singh

MAY 28, 2023

If you are interested, you can find it here. Sophia is probably one of the most interesting papers I have read recently and I really liked how well it was written. Checking the performance and scalability of this optimizer for pre-training much larger model sizes would (although expensive) be interesting to see.

Deep Learning 52

Deep Learning LLM 52

O'Reilly Media

SEPTEMBER 15, 2021

However, 8% of the correspondents reported decreased compensation, and 18% reported no change. A small number of respondents (8%) reported salary decreases, and 18% reported no change. Data and AI professionals are clearly interested in learning—and that learning is self-motivated, not imposed by management.

AI 145

AI AI Machine Learning ML 145

deepsense.ai

FEBRUARY 28, 2024

Their applications range from answering questions based on provided documents or knowledge bases (so-called retrieval-augmented generation, or RAG for short), to text summarization, content creation, coding assistants and more. It should now be easy to calculate how much is needed to serve the largest Llama 2 model with 70 billion parameters!

Generative AI 52

Generative AI LLM Neural Network Algorithm 52

Pragnakalp

MAY 29, 2024

While there were periods of increase and decrease, the expenses remained within a range of approximately 20,000 to 40,000 for the majority of the year. April to May: The gap decreases as revenue falls and expenses rise slightly. If you’re interested in integrating GPT-4o or Gemini 1.5 Pro: Which AI Reigns Supreme?

AI 52

AI AI Explainability OpenAI 52

Topbots

JULY 6, 2023

While phrases like “that’s nice” and “I don’t know” can be meaningful in many dialog scenarios, they are not likely to lead to interesting and engaging conversations. The LaMDA generator first generates several candidate responses, which are all scored based on how safe, sensible, specific, and interesting they are. What is the goal?

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52