Unite.AI

NOVEMBER 17, 2023

Colossyan Creator is an AI video generator that simplifies the video creation process for content creators, marketers, and small business owners. The AI video platform leverages machine learning and natural language processing to enhance the learning experience for video content creators. I added this as my script.

AI 274

AI AI Natural Language Processing Auto-complete 274

Unite.AI

MAY 27, 2024

This approach leverages search algorithms like breadth-first or depth-first search, enabling the LLM to engage in lookahead and backtracking during the problem-solving process. Performance: On various benchmark reasoning tasks, Auto-CoT has matched or exceeded the performance of manual CoT prompting.

Prompt Engineer 162

Prompt Engineer Prompt Engineering LLM Auto-complete 162

Bugra Akyildiz

MARCH 16, 2025

Articles ThunderMLA from Stanford researchers, a new optimization approach for variable-length sequence processing to large language model inference that addresses critical performance bottlenecks in attention mechanisms. verl is a flexible, efficient and production-ready RL training library for large language models (LLMs).

LLM 52

LLM Large Language Models Auto-complete Algorithm 52

Marktechpost

DECEMBER 4, 2023

Engineered to enable developers to produce superior code with greater efficiency, Copilot operates on the foundation of OpenAI’s Codex language model. This model is trained on both natural language and a broad database of public code, allowing it to offer insightful suggestions.

AI Tools 133

AI Tools Auto-complete Artificial Intelligence Artificial Intelligence 133

Marktechpost

MAY 3, 2024

Engineered to enable developers to produce superior code with greater efficiency, Copilot operates on the foundation of OpenAI’s Codex language model. This model is trained on both natural language and a broad database of public code, allowing it to offer insightful suggestions.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 111

AWS Machine Learning Blog

OCTOBER 11, 2023

The decode phase includes the following: Completion – After the prefill phase, you have a partially generated text that may be incomplete or cut off at some point. The decode phase is responsible for completing the text to make it coherent and grammatically correct. The default is 32.

Auto-complete 119

Auto-complete LLM Machine Learning Deep Learning 119

AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. jpg and the complete metadata from styles/38642.json. From here, we can fetch the image for this product from images/38642.jpg

Generative AI 133

Generative AI Machine Learning Natural Language Processing Large Language Models 133

Robot Writers AI

JANUARY 14, 2024

In future decades, when the AI takeover is complete — no joke — some of us will look back and ask: How did this all begin? Automated Opinion Writing As-a-Service: Now a Thing: Wired Reports that new tech has emerged to auto-generate tweets, articles and Web sites to counter an opposing viewpoint.

Auto-complete 103

Auto-complete ChatGPT OpenAI AI 103

Marktechpost

JULY 23, 2023

For computers to process, analyze, interpret, and reason about human language, a subfield of AI known as natural language processing (NLP) is required. Natural language processing (NLP) is an interdisciplinary field that draws on methods from disciplines as diverse as linguistics and computer science.

AI Tools 98

AI Tools Natural Language Processing Artificial Intelligence Artificial Intelligence 98

AWS Machine Learning Blog

SEPTEMBER 25, 2023

Large language models (LLMs) used to generate text sequences need immense amounts of computing power and have difficulty accessing the available high bandwidth memory (HBM) and compute capacity. The following diagram shows the dynamic batching of requests with different input sequence lengths being processed together by the model.

Auto-complete 119

Auto-complete Deep Learning Machine Learning Computer Vision 119

Becoming Human

MARCH 16, 2023

The applications of graph classification are numerous, and they range from determining whether a protein is an enzyme or not in bioinformatics to categorizing documents in natural language processing (NLP) or social network analysis, among other things. In order to create a complete GCN, we can combine one or more layers.

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

AWS Machine Learning Blog

MAY 3, 2023

Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it. The final outcome is an auto scaling, robust, and dynamically monitored solution.

Auto-classification 91

Auto-classification Auto-complete Machine Learning Metadata 91

AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. For example, metadata can be used for filtering and searching. See Limits ).

Metadata 121

Metadata Auto-classification Auto-complete Content Enrichment 121

AWS Machine Learning Blog

JULY 24, 2024

Einstein has a list of over 60 features, unlocked at different price points and segmented into four main categories: machine learning (ML), natural language processing (NLP), computer vision, and automatic speech recognition. Customers have the flexibility to choose either algorithm depending on their workload needs.

LLM 127

LLM Machine Learning Auto-complete NLP 127

AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. Triton implements multiple scheduling and batching algorithms that can be configured on a model-by-model basis. xlarge instance.

ML 109

ML Auto-classification Auto-complete Natural Language Processing 109

AWS Machine Learning Blog

JUNE 1, 2023

The experiments showed improvements compared to the vanilla tracker algorithms. SageMaker provides several built-in algorithms and container images that you can use to accelerate training and deployment of ML models. Additionally, custom algorithms such as ByteTrack can also be supported via custom-built Docker container images.

Auto-complete 98

Auto-complete Machine Learning Algorithm ML 98

AWS Machine Learning Blog

MAY 31, 2024

trillion token dataset and supports multiple languages. The Falcon 2 11B model is available on SageMaker JumpStart, a machine learning (ML) hub that provides access to built-in algorithms, FMs, and pre-built ML solutions that you can deploy quickly and get started with ML faster. Falcon 2 11B is a trained dense decoder model on a 5.5

Python 118

Python Machine Learning Auto-classification ML 118

AWS Machine Learning Blog

SEPTEMBER 26, 2024

During the iterative research and development phase, data scientists and researchers need to run multiple experiments with different versions of algorithms and scale to larger models. Set up SageMaker HyperPod and run video generation algorithms In this walkthrough, we use the AnimateAnyone algorithm as an illustration for video generation.

Algorithm 117

Algorithm ML Data Scientist Machine Learning 117

AWS Machine Learning Blog

MAY 25, 2023

Amazon Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP) and advanced search algorithms. SageMaker Serverless Inference auto-assigns compute resources proportional to the memory you select. Choose Next.

ML 91

ML Auto-complete NLP Machine Learning 91

AWS Machine Learning Blog

MAY 8, 2023

With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Additionally, TensorRT employs CUDA streams to enable parallel processing of models, further improving GPU utilization and performance. Note that the cell takes around 30 minutes to complete. !docker

ML 99

ML BERT Deep Learning Auto-complete 99

Marktechpost

AUGUST 18, 2024

In the field of Natural Language Processing (NLP), Retrieval Augmented Generation, or RAG, has attracted much attention lately. To make sure the knowledge base is as precise and complete as feasible, duplicates should also be removed.

Auto-complete 56

Auto-complete Natural Language Processing LLM NLP 56

AWS Machine Learning Blog

SEPTEMBER 6, 2023

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. What is Llama 2 Llama 2 is an auto-regressive language model that uses an optimized transformer architecture.

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Auto-complete Machine Learning ML Python 124

The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Is it accessible from your language/framework/infrastructure, framework, or infrastructure? Can you render audio/video?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

DECEMBER 14, 2023

Complete the following steps to edit an existing space: On the space details page, choose Stop space. Generative AI-powered tools on JupyterLab Spaces Generative AI, a rapidly evolving field in artificial intelligence, uses algorithms to create new content like text, images, and code from extensive existing data. Choose Create space.

Generative AI 122

Generative AI AI Tools ML Auto-complete 122

AWS Machine Learning Blog

OCTOBER 8, 2024

In the training phase, CSV data is uploaded to Amazon S3, followed by the creation of an AutoML job, model creation, and checking for job completion. This ensures the model has a complete dataset to learn from, improving its ability to make accurate forecasts.

Machine Learning 93

Machine Learning Auto-complete Auto-classification Metadata 93

AWS Machine Learning Blog

MARCH 6, 2023

The preparation of a natural language processing (NLP) dataset abounds with share-nothing parallelism opportunities. NCCL is an NVIDIA-developed open-source library implementing inter-GPU communication algorithms. This results in faster restarts and workload completion. Note that effective in NCCL 2.12

Large Language Models 100

Large Language Models LLM Machine Learning ML 100

DataRobot Blog

FEBRUARY 2, 2023

The creation of foundation models is one of the key developments in the field of large language models that is creating a lot of excitement and interest amongst data scientists and machine learning engineers. These models are trained on massive amounts of text data using deep learning algorithms. print("Creating model deployment.")

BERT 52

BERT Large Language Models Natural Language Processing Machine Learning 52

Viso.ai

DECEMBER 18, 2023

The algorithm then generates new data points that follow the same statistical patterns. Then, we implement algorithms such as iterative proportional fitting (IPF) or combinatorial optimization. They can handle much richer data distributions than traditional algorithms, such as decision trees. 1: Variational Auto-Encoder.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Viso.ai

APRIL 24, 2023

Optical Character Recognition or Optical Character Reader (or OCR) describes the process of converting printed or handwritten text into a digital format with image processing. In this article, we’ll discuss What OCR is and how it works, as well as The best tools, algorithms, and techniques for OCR. Feature detection.

Computer Vision 52

Computer Vision Algorithm Machine Learning Auto-complete 52

AWS Machine Learning Blog

MARCH 2, 2023

script will create the VPC, subnets, auto scaling groups, the EKS cluster, its nodes, and any other necessary resources. When this step is complete, delete the cluster by using the following script in the eks folder: /eks-delete.sh He spent 10 years as Head of Morgan Stanley’s Algorithmic Trading Division in San Francisco.

BERT 94

BERT Deep Learning Metadata Auto-complete 94

The MLOps Blog

JULY 18, 2023

Then we subsequently try to run audio fingerprinting type algorithms on top of it so that we can actually identify specifically who those people are if we’ve seen them in the past. We need to do that, but we don’t really know what those topics are, so we use some algorithms. We call it our “format stage.”

Conversational AI 52

Conversational AI Natural Language Processing Machine Learning AI 52

Google Research AI blog

FEBRUARY 28, 2023

Throughout 2022, we gave over 224 grants to researchers and over $10M in Google Cloud Platform credits for topics ranging from the improvement of algorithms for post-quantum cryptography with collaborators at CNRS in France to fostering cybersecurity research at TU Munich and Fraunhofer AISEC in Germany.

Robotics 72

Robotics Deep Learning Auto-classification ML 72

Robot Writers AI

JULY 2, 2023

Here are the stories from Q2 that helped shape that perspective: *ChatGPT: Now Nearly 1 Billion Vistors-a-Month: AI auto-writing wonder ChatGPT continues to gobsmack the world — now clocking nearly a billion visitors every month. During the past few years, the off-loading of translation to AI machines has completely disrupted the industry.

ChatGPT 52

ChatGPT Auto-complete AI AI 52

Explosion

MAY 10, 2016

Once the batch is complete, the processed documents are yielded from the iterator. Each document is processed independently, so if your batch size is large enough, and OpenMP is enabled, you should be able to work all your cores with only one copy of the spaCy models in memory.

Python 40

Python NLP Auto-complete Neural Network 40

Explosion

NOVEMBER 21, 2019

al, 2015) is a twist on the word2vec family of algorithms that lets you learn more interesting word vectors. from_disk("/path/to/s2v_reddit_2015_md") nlp.add_pipe(s2v) doc = nlp("A sentence about natural language processing.") text == "natural language processing" freq = doc[3:6]._.s2v_freq

NLP 52

NLP Convolutional Neural Networks Neural Network Natural Language Processing 52

Chatbots Life

OCTOBER 7, 2024

ASR employs complex algorithms to analyze the sound patterns and match them to corresponding words and phrases. During the next stage, Natural Language Processing (NLP) dissects the text, deciphers its meaning, and identifies the person’s intent. Voice technology in cars offers more than basic commands.

Chatbots 53

Chatbots Automation Artificial Intelligence Artificial Intelligence 53

Heartbeat

JANUARY 25, 2023

By analyzing the words and phrases used in a piece of writing, sentiment analysis algorithms can determine the overall sentiment of the text and provide a more complete understanding of its meaning. The model-building process involves Natural Language Processing, Deep Learning techniques, and Python libraries.

Python 52

Python Auto-classification Deep Learning Machine Learning 52