IBM Journey to AI blog

SEPTEMBER 19, 2023

Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy. It can also modernize legacy code and translate code from one programming language to another.

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Marktechpost

MARCH 14, 2024

Tabnine Although Tabnine is not an end-to-end code generator, it amps up the integrated development environment’s (IDE) auto-completion capability. Jacob Jackson created Tabnine in Rust when he was a student at the University of Waterloo, and it has now grown into a complete AI-based code completion tool.

Artificial Intelligence 121

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Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. Image and Document Processing Multimodal LLMs have completely replaced OCR. Recent advancements in hardware such as Nvidia H100 GPU, have significantly enhanced computational capabilities.

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AWS Machine Learning Blog

JANUARY 21, 2025

Amazon Lex is powered by the same deep learning technologies used in Alexa. Application Auto Scaling is enabled on AWS Lambda to automatically scale Lambda according to user interactions. Prerequisites The following prerequisites need to be completed before building the solution.

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NVIDIA

MARCH 18, 2024

At its booth, NVIDIA will showcase how it’s building automotive assistants to enhance driver safety, security and comfort through enhanced perception, understanding and generative capabilities powered by deep learning and transformer models. Li Auto unveiled its multimodal cognitive model, Mind GPT, in June.

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Flipboard

JUNE 26, 2023

In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience. The following diagram shows our solution architecture.

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Unite.AI

OCTOBER 18, 2023

These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more. If the system encounters any issue during the runtime, the process is repeated until it is resolved completely.

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AWS Machine Learning Blog

APRIL 19, 2024

Our deep learning models have non-trivial requirements: they are gigabytes in size, are numerous and heterogeneous, and require GPUs for fast inference and fine-tuning. We use Amazon EKS and were looking for the best solution to auto scale our worker nodes. This enables all steps to be completed from a web browser.

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Marktechpost

NOVEMBER 7, 2023

It will be necessary to expand the capabilities of current code completion tools—which are presently utilized by millions of programmers—to address the issue of library learning to solve this multi-objective optimization. Figure 1: The LILO learning loop overview. (Al)

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Marktechpost

MAY 1, 2024

The model defines and auto completes the function’s body when the prompt comprises a docstring and a Python function header. Instead of spreading computation across all levels, deep learning models must be more motivated to forecast their final output early.

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AWS Machine Learning Blog

NOVEMBER 6, 2023

Custom Queries provides a way for you to customize the Queries feature for your business-specific, non-standard documents such as auto lending contracts, checks, and pay statements, in a self-service way. This section will activate your next steps as you complete them sequentially. What is the account name/payer/drawer name?

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AWS Machine Learning Blog

NOVEMBER 26, 2024

For years, Rad AI has been a reliable partner to radiology practices and health systems, consistently delivering high availability and generating complete results seamlessly in 0.5–3 Dmitry Soldatkin is a Senior Machine Learning Solutions Architect at Amazon Web Services (AWS), helping customers design and build AI/ML solutions.

Machine Learning 112

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Marktechpost

JULY 11, 2023

Tabnine Although Tabnine is not an end-to-end code generator, it amps up the integrated development environment’s (IDE) auto-completion capability. Jacob Jackson created Tabnine in Rust when he was a student at the University of Waterloo, and it has now grown into a complete AI-based code completion tool.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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AWS Machine Learning Blog

JUNE 11, 2024

release , you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. AWS DLCs provide a set of Docker images that are pre-installed with deep learning frameworks.

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AWS Machine Learning Blog

APRIL 25, 2024

The added benefit of asynchronous inference is the cost savings by auto scaling the instance count to zero when there are no requests to process. Hugging Face is a popular open source hub for machine learning (ML) models. Prerequisites Complete the following prerequisites: Create a SageMaker domain.

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IBM Journey to AI blog

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Enterprise organizations (many of whom have already embarked on their AI journeys) are eager to harness the power of generative AI for customer service.

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Unite.AI

MAY 27, 2024

Let's explore some of these cutting-edge methods in detail: Auto-CoT (Automatic Chain-of-Thought Prompting) What It Is: Auto-CoT is a method that automates the generation of reasoning chains for LLMs, eliminating the need for manually crafted examples.

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AWS Machine Learning Blog

DECEMBER 13, 2023

AWS Neuron is the SDK used to run deep learning workloads on AWS Inferentia and AWS Trainium based instances. AWS Neuron includes a deep learning compiler , runtime , and tools that are natively integrated with popular frameworks like TensorFlow and PyTorch.

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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.

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AWS Machine Learning Blog

MARCH 13, 2025

For a complete list of runtime configurations, please refer to text-generation-launcher arguments. SageMaker endpoints also support auto-scaling, allowing DeepSeek-R1 to scale horizontally based on incoming request volume while seamlessly integrating with elastic load balancing. The best performance was observed on ml.p4dn.24xlarge

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Towards AI

JULY 13, 2024

Traditional methods like ARIMA struggle with modern data complexities, but deep learning has shown promise. Generating Longer Forecast Output Patches In Large Language Models (LLMs), output is generally produced in an auto-regressive manner, generating one token at a time. However, there is a trade-off.

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AWS Machine Learning Blog

SEPTEMBER 25, 2023

This is because a large portion of the available memory bandwidth is consumed by loading the model’s parameters and by the auto-regressive decoding process.As Then we highlight how Amazon SageMaker large model inference (LMI) deep learning containers (DLCs) can help with these techniques. Use MPI to enable continuous batching.

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Towards AI

JULY 21, 2023

Deep learning and semantic parsing, do we still care about information extraction? This… github.com Kite Auto Complete For all the Jupyter notebook fans, Kite code autocomplete is now supported! GPT-3 hype is cool but needs fine-tuning to be anywhere near production-ready. Where are those graphs?

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AWS Machine Learning Blog

JUNE 13, 2023

In this post, we demonstrate how to deploy Falcon for applications like language understanding and automated writing assistance using large model inference deep learning containers on SageMaker. SageMaker large model inference (LMI) deep learning containers (DLCs) can help. code_falcon40b_deepspeed/model.py

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AWS Machine Learning Blog

APRIL 8, 2024

of Large Model Inference (LMI) Deep Learning Containers (DLCs). The complete notebook with detailed instructions is available in the GitHub repo. For the TensorRT-LLM container, we use auto. In January 2024, Amazon SageMaker launched a new version (0.26.0) It is returned with the last streamed sequence chunk.

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AWS Machine Learning Blog

APRIL 27, 2023

Deep learning (DL) is a fast-evolving field, and practitioners are constantly innovating DL models and inventing ways to speed them up. Custom operators are one of the mechanisms developers use to push the boundaries of DL innovation by extending the functionality of existing machine learning (ML) frameworks such as PyTorch.

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AssemblyAI

JUNE 24, 2024

Today, many modern Speech-to-Text APIs and Speaker Diarization libraries apply advanced Deep Learning models to perform tasks (A) and (B) near human-level accuracy, significantly increasing the utility of Speaker Diarization APIs. An embedding is a Deep Learning model’s low-dimensional representation of an input.

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AWS Machine Learning Blog

MAY 1, 2024

Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. In high performance computing (HPC) clusters, such as those used for deep learning model training, hardware resiliency issues can be a potential obstacle.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Further optimization is possible using SageMaker Training Compiler to compile deep learning models for training on supported GPU instances. SageMaker Training Compiler converts deep learning models from high-level language representation to hardware-optimized instructions.

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AWS Machine Learning Blog

MAY 9, 2023

In addition, you can now use Application Auto Scaling with provisioned concurrency to address inference traffic dynamically based on target metrics or a schedule. In this post, we discuss what provisioned concurrency and Application Auto Scaling are, how to use them, and some best practices and guidance for your inference workloads.

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Towards AI

JULY 8, 2024

Bigram Models Simplified Image generated by ChatGPT Introduction to Text Generation In Natural Language Processing, text generation creates text that can resemble human writing, ranging from simple tasks like auto-completing sentences to complex ones like writing articles or stories.

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AssemblyAI

SEPTEMBER 18, 2023

LLMs leverage deep learning architectures to process and understand the nuances and context of human language. It offers a simple API for applying LLMs to up to 100 hours of audio data, even exposing endpoints for common use tasks It's smart enough to auto-generate subtitles, identify speakers, and transcribe audio in real time.

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AWS Machine Learning Blog

MAY 31, 2023

In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium accelerators, which are purpose built for high-performance deep learning training. We use the Neuron SDK to run deep learning workloads on AWS Inferentia and Trainium-based instances. Choose Create repository.

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AWS Machine Learning Blog

MAY 7, 2024

The AWS partnership with Hugging Face allows a seamless integration through SageMaker with a set of Deep Learning Containers (DLCs) for training and inference, and Hugging Face estimators and predictors for the SageMaker Python SDK. The following figure shows the input conversation and output summary.

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Unite.AI

SEPTEMBER 13, 2024

Kernel Auto-tuning : TensorRT automatically selects the best kernel for each operation, optimizing inference for a given GPU. These techniques allow TensorRT-LLM to optimize inference performance for deep learning tasks such as natural language processing, recommendation engines, and real-time video analytics.

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Becoming Human

MARCH 16, 2023

Photo by NASA on Unsplash Hello and welcome to this post, in which I will study a relatively new field in deep learning involving graphs — a very important and widely used data structure. This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications.

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