Translation, Computer vision, Sentiment analysis, Machine learning, Natural language, Machine translation
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Coding In the Age of AI: ChatGPT's Role In Next-Gen Programming
In turn, this has allowed for faster product and service development, boosted user experience, and provided greater flexibility for developers. By analyzing the collected data, ChatGPT ...
Deep learning Cat and Dog Classification Using TensorFlow
TensorFlow is an open-source software library for deep learning and machine learning developed by Google Brain Team. It is used for a wideâŚ
Transformer Neural Network
The transformer is a component used in many neural network designs that takes an input in the form of a sequence of vectors, and converts it into a vector called an encoding, and then ...
11 NLP Use Cases: Putting the Language Comprehension Tech to Work
11 NLP Applications field of use cases for data labeling Chatbots, text, NER, Speech Recognition, Sentiment, etc.
shailesh-text-gen 4.2.1
John Snow Labs NLU provides state of the art algorithms for NLP&NLU with 10000+ of pretrained models in 200+ languages. It enables swift and simple development and research with its ...
Large Language Models: Complete Guide in 2023
Learn about large language models definition, use cases, examples, benefits, and challenges to get up to speed on generative AI.
Understanding Large Language Models -- A Transformative Reading List
Since transformers have such a big impact on everyone's research agenda, I wanted to flesh out a short reading list for machine learning researchers and prac...
7 AI-Powered Tools to Enhance Productivity for Data Scientists
Discover how AI-Powered Tools like DataRobot, H20.ai, Big Panda, HuggingFace can enhance your Productivity as a Data Scientist.
Google Colab Pro Vs MacBook Pro M1 Max 24 Core
Comparing the performance and ease of use for ML tasks
Accelerating AI Development with NVIDIA TAO Toolkit and Weights & Biases
Learn how to integrate NVIDIA TAO Toolkit and the Weights and Biases MLOps platform to accelerate common AI tasks.
GPT-3 and Cybersecurity
Introduction The use of deep neural networks has significantly improved the performance of machine learning in fields such as image [âŚ]
PanGu-ÎŁ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing
The scaling of large language models has greatly improved natural language understanding, generation, and reasoning. In this work, we develop a system that trained a trillion-parameter ...
Common ChatGPT terms explained
If you would like to know more about common ChatGPT terms this guide takes you through the most common and offers a brief description
What is Natural Language Processing?
Since the first computers, NLP has been a key goal of AI research. Now, we routinely speak to our devices.
Using AI To Detect Sentiment In Audio Files
Dive into an article where you will build an app that evaluates audio files for positive and negative sentiments. The idea is that you will create an interface for uploading an audio file, ...
IBM to host Metaâs Llama 2 for enterprise AI development
IBM to host Meta's Llama 2 for enterprise AI development - SiliconANGLE
Intel Habana Gaudi2 Accelerators Offer NVIDIA Alternative for Large Language Models
The Intel Habana Gaudi2 deep learning accelerator has demonstrated impressive results in the MLPerf Training 3.0 benchmark.
12 of the best large language models
Large language models are driving AI hype in 2023. Learn which ones to follow.
People of ACM - Dong Yu
A People of ACM interview with Dong Yu, a Distinguished Scientist and Vice General Manager at Tencent AI Lab, which has teams in Shenzhen, Beijing, and Seattle. He has published more than ...