Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. LightGBM, XGBoost) necessitate data denormalization, data export, and data import, as they operate as separate programs incompatible with databases.

Data Scientist 64

Data Scientist AI AI ML 64

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. LightGBM, XGBoost) necessitate data denormalization, data export, and data import, as they operate as separate programs incompatible with databases.

Data Scientist 59

Data Scientist AI AI ML 59

The MLOps Blog

AUGUST 3, 2023

Piotr: Would you also calculate some statistics over a column or set of columns to, let’s say, use Hamilton as a framework for testing data sets? Like I’m not talking about verifying particular value in a column but rather statistic distribution of your data. So the organization had a program manager.

ML 52

ML Data Scientist Software Engineer Machine Learning 52

Sebastian Ruder

NOVEMBER 14, 2022

Other communities such as Zindi or Data Science Nigeria have focused on hosting competitions and providing training courses while new programs such as the African Master's in Machine Intelligence seek to educate the next generation of AI researchers. Cross-lingual name tagging and linking for 282 languages. Nothman, J.,

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. It is fully-typed, integrates with programming frameworks like LangChain and LlamaIndex , and provides a single API to develop, test, and run your production AI applications.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

Sebastian Ruder

AUGUST 23, 2021

over time (Credit: Papers with Code ) Table of contents: What is a benchmark? Every year, it would release different benchmark sets, each composed of multiple programs, with performance measured as the geometric mean of millions of instructions per second ( MIPS ). Conduct statistical significance testing.

NLP 52

NLP Natural Language Processing ML Deep Learning 52

Probably Approximately a Scientific Blog

AUGUST 14, 2018

As with machine learning, the goal is to give computers the ability to “learn” to solve some task without being explicitly programmed to solve it, but rather by using data and applying statistical methods to it. representing a word in context, and predicting its NER tag); or for generating new sequences (e.g. Here is an example.

Deep Learning 52

Deep Learning NLP Neural Network Machine Learning 52