ODSC - Open Data Science

AUGUST 24, 2023

Be sure to check out their talk, “Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices,” there! At the core of efficient LLM utilization lies the art of prompt engineering which involves crafting prompts that guide LLMs effectively, paving the way for reliable responses.

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Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

John Snow Labs

JUNE 27, 2023

Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. and GPT-4, marked a significant advancement in the field of large language models.

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John Snow Labs

AUGUST 15, 2023

The realm of Natural Language Processing has been growing exponentially, bringing about a host of advancements that are pushing the boundaries of technology and its application. Enabling this option ensures that the pre-annotation process only includes sections present in the latest completion of the current user.

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AWS Machine Learning Blog

AUGUST 14, 2023

An application using the RAG approach retrieves information most relevant to the user’s request from the enterprise knowledge base or content, bundles it as context along with the user’s request as a prompt, and then sends it to the LLM to get a response. The LLM returns with a response that is based on the retrieved documents.

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Marktechpost

OCTOBER 18, 2023

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. Check out the Reference Page and Project Page.

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Artificial Intelligence Artificial Intelligence LLM AI Researcher 112

The MLOps Blog

JANUARY 19, 2024

Imagine you’re facing the following challenge: you want to develop a Large Language Model (LLM) that can proficiently respond to inquiries in Portuguese. We will fine-tune different foundation LLM models on a dataset, evaluate them, and select the best model. You have a valuable dataset and can choose from various base models.

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Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. There are two models in this implementation: the embeddings model and the LLM that generates the final response.

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AWS Machine Learning Blog

MARCH 28, 2024

This technique provides targeted yet broad-ranging search capabilities, furnishing the LLM with a wider perspective. It tackles the issue of information overload and irrelevant data processing head-on, leading to improved response quality, more cost-effective LLM operations, and a smoother overall retrieval process.

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LLM Auto-complete Auto-classification Generative AI 111

AssemblyAI

SEPTEMBER 18, 2023

Below, we'll give you the basic know-how you need to understand LLMs, how they work, and the best models in 2023. What Is a Large Language Model? A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language.

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Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

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Auto-classification Natural Language Processing Auto-complete NLP 52

AWS Machine Learning Blog

SEPTEMBER 5, 2023

These models have revolutionized various computer vision (CV) and natural language processing (NLP) tasks, including image generation, translation, and question answering. To make sure that our endpoint can scale down to zero, we need to configure auto scaling on the asynchronous endpoint using Application Auto Scaling.

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AWS Machine Learning Blog

OCTOBER 11, 2023

The LMI container has a powerful serving stack called DJL serving that is agnostic to the underlying LLM. It provides system-level configuration parameters that can be tuned for extracting the best performance of the hosting infrastructure for a given LLM. These cached key and value tensors are often referred to as the KV cache.

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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. append(e["Text"].upper())

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Metadata Auto-classification Auto-complete Content Enrichment 98

AWS Machine Learning Blog

JUNE 13, 2023

Last week, Technology Innovation Institute (TII) launched TII Falcon LLM , an open-source foundational large language model (LLM). The result of this effort is TII Falcon LLM. SageMaker large model inference DLCs simplify LLM hosting Hosting LLMs such as Falcon-40B and Falcon-7B can be challenging.

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AWS Machine Learning Blog

APRIL 16, 2024

To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret. Complete the following steps: On the Secrets Manager console, choose Store a new secret. However, it is essential to acknowledge the inherent differences between human language and SQL.

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Data Scientist Generative AI ML Machine Learning 90

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 parameters can be loaded one time and used to process multiple input sequences.

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AWS Machine Learning Blog

MAY 1, 2024

Llama2 by Meta is an example of an LLM offered by AWS. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. This results in faster restarts and workload completion.

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AWS Machine Learning Blog

MAY 12, 2023

To get started, complete the following steps: On the File menu, choose New and Terminal. Use CodeWhisperer in Studio After we complete the installation steps, we can use CodeWhisperer by opening a new notebook or Python file. To get started, complete the following steps: On the File menu, choose New and Terminal.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Complete the following steps to edit an existing space: On the space details page, choose Stop space. It serves as an essential tool for both beginner and seasoned coders, providing insights into best practices, accelerating the development process, and improving the overall quality of code. Choose Create JupyterLab space.

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AWS Machine Learning Blog

MARCH 6, 2023

LLMs’ generative abilities make them popular for text synthesis, summarization, machine translation, and more. The size of an LLM and its training data is a double-edged sword: it brings modeling quality, but entails infrastructure challenges. In the past few years, numerous customers have been using the AWS Cloud for LLM training.

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Large Language Models LLM Machine Learning ML 78

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?

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Machine Learning Metadata Data Quality Data Scientist 134

AWS Machine Learning Blog

MAY 4, 2023

For ultra-large models that don’t fit into a single accelerator, data flows directly between accelerators with NeuronLink, bypassing the CPU completely. These endpoints are fully managed and support auto scaling. When the tracing is complete, the model is partitioned across the NeuronCores based on the tensor parallel degree.

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Generative AI Deep Learning Machine Learning Python 76

Unite.AI

APRIL 18, 2024

SWE agent LLM LLM Agents: Orchestrating Task Automation LLM agents are sophisticated software entities designed to automate the execution of complex tasks. The operation of an LLM agent can be visualized as a dynamic sequence of steps, meticulously orchestrated to fulfill the given task.

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Software Engineer Software Development LLM AI 261

Marktechpost

JULY 15, 2023

Conversational AI refers to technology like a virtual agent or a chatbot that use large amounts of data and natural language processing to mimic human interactions and recognize speech and text. Here are some other open-source large language models (LLMs) that are revolutionizing conversational AI. trillion tokens.

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AWS Machine Learning Blog

JUNE 5, 2023

Today, as part of Amazon Web Services’ partnership with Hugging Face, we are excited to announce the release of a new Hugging Face Deep Learning Container (DLC) for inference with Large Language Models (LLMs). Hosting LLMs at scale presents a unique set of complex engineering challenges.

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LLM Large Language Models Deep Learning Auto-complete 76

AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Central to the architecture are the fine-tuned VLM and LLM, both instrumental in decoding visual and textual data streams.

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Topbots

JUNE 29, 2023

On a more advanced stance, everyone who has done SQL query optimisation will know that many roads lead to the same result, and semantically equivalent queries might have completely different syntax. 3] provides a more complete survey of Text2SQL data augmentation techniques.

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