Heartbeat

APRIL 10, 2023

It has managed to attract the attention not only of artificial intelligence researchers, but also of anyone even remotely interested in technology. “A Image by author The above example actually shows the two basic elements of a prompt. OpenAI API offers a range of AI models with different capabilities and pricing. ?

Prompt Engineer 83

Prompt Engineer Prompt Engineering OpenAI ChatGPT 83

Snorkel AI

FEBRUARY 6, 2024

Figure it out, give me a price and I’ll put it to my customer.” But the ability to query information, to retrieve information, to perform basic reasoning on top of that information seems to be their superpower. You’re letting it pay appropriate attention to the right tokens in the input.

Data Science 52

Data Science LLM Machine Learning Data Scientist 52

Snorkel AI

FEBRUARY 6, 2024

Figure it out, give me a price and I’ll put it to my customer.” But the ability to query information, to retrieve information, to perform basic reasoning on top of that information seems to be their superpower. You’re letting it pay appropriate attention to the right tokens in the input.

Data Science 52

Data Science LLM Machine Learning Data Scientist 52

The MLOps Blog

JANUARY 19, 2024

Below, you can see a basic transformer architecture consisting of an encoder (left) and a decoder (right). The decoder uses the information in the embeddings to generate the model’s output, one token at a time. Colab does not reveal detailed prices, but a T4 costs $0.35/hour Transformers architecture. Transformers architecture.

LLM 52

LLM Auto-complete Large Language Models Natural Language Processing 52

AWS Machine Learning Blog

JANUARY 29, 2024

When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the time it takes to generate a single token, and throughput, defined by the number of tokens generated per second.

LLM 95

LLM Machine Learning ML Algorithm 95

Mlearning.ai

JUNE 8, 2023

Vector Embeddings for Developers: The Basics | Pinecone Used geometry concept to explain what is vector, and how raw data is transformed to embedding using embedding model. After the sentences were inputted to BERT, the most common way to generate a sentence embedding was by averaging all the word-level embeddings or taking the [CLS] token.

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

Snorkel AI

APRIL 13, 2023

Foundation models are models that have been trained on diverse, massive amounts of data—for instance, hundreds of billions of tokens from the internet. Recent foundation models are amazing and they have gained a lot of attention in research and industry. Finally, I’ll dive into the Ask Me Anything method.

Machine Learning 52

Machine Learning OpenAI ML BERT 52