Unite.AI

MAY 21, 2024

However, with the inception of Large Language Models (LLMs), developers have seen unprecedented support for their programming tasks. Understanding Hallucinated Code Hallucinated code refers to code snippets or programming constructs generated by AI language models that appear syntactically correct but are functionally flawed or irrelevant.

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Towards AI

FEBRUARY 6, 2024

Welcome to the second article of our LLM Series, where we’re turning up the voltage on OpenAI models U+1F329️U+26A1. I’ll pull back the curtain on OpenAI’s functional calling capabilities, crunching analytics like a math whiz, and answering user queries at lightning speed. We’re going to use Azure OpenAI again.

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AssemblyAI

MAY 3, 2023

In the past months, an exquisitely human-centric approach called Reinforcement Learning from Human Feedback (RLHF) has rapidly emerged as a tour de force in the realm of AI alignment. This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Towards AI

FEBRUARY 20, 2024

Image by Author via Dall-E Welcome to the third article of this LLM Series, where we’re stoking the flames of innovation with OpenAI models U+1F525U+1F525. In this edition, we’ll be exploring multiple-function calling, a technique designed to supercharge the efficiency and capabilities of Language Learning Models.

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Unite.AI

SEPTEMBER 6, 2023

Realizing that our challenges extended beyond individual struggles, I felt a calling to think on a broader scale and channel my endeavors. Realizing that our challenges extended beyond individual struggles, I felt a calling to think on a broader scale and channel my endeavors. You grew up in Armenia, without electricity during a war.

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Unite.AI

AUGUST 8, 2023

The Technologies Behind Generative Models Generative models owe their existence to deep neural networks, sophisticated structures designed to mimic the human brain's functionality. If we look back at the history of human innovation, we might consider the invention of the wheel or the discovery of electricity as monumental leaps.

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Marktechpost

DECEMBER 22, 2023

LLMs have ushered in a new era of general-purpose vision systems, showcasing their prowess in processing visual inputs. Employing an instruction-guided image tokenizer and a gradient-aware adaptive sampling technique extracts compressed and refined features, representing binary segmentation masks as sequences.

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Towards AI

APRIL 9, 2024

Last Updated on April 9, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie For the past few weeks, we have been following an increased pace of voice and music AI model releases. We also saw a new music model from Stability AI — Stable Audio 2.0, Why should you care?

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AI Weekly

SEPTEMBER 7, 2023

singularityhub.com What You Should Know About AI Customer Service Tools Streamlining data capture to focus on relevant, premium data will support improved AI customer service tools functionality and precision-led machine learning. Powered by invideo.io at a time when many chip companies are struggling to raise cash. Powered by invideo.io

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ODSC - Open Data Science

FEBRUARY 15, 2024

In this blog post, we will explore ten valuable datasets that can assist you in fine-tuning or training your LLM. Fine-tuning a pre-trained LLM allows you to customize the model’s behavior and adapt it to your specific requirements. Each dataset offers unique features and can enhance your model’s performance. Why Fine-Tune a Model?

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Unite.AI

APRIL 22, 2024

This was a particularly difficult issue to address without the use of Large Language Models (LLMs). However, with the recent emergence of cost-effective LLMs, we've been able to streamline these use cases. At InvGate, your team applies a strategy that is called “agnostic AI”. He has a PhD. Absolutely.

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Software Engineer AI Modeling Generative AI Large Language Models 147

deepsense.ai

JULY 13, 2023

A comprehensive guide to incorporating Large Language Models into your company for increased efficiency and business value. Introduction GPT and other LLMs hold great promise in terms of improving efficiency, streamlining processes, and ultimately driving greater business value. But how to do it efficiently?

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Topbots

APRIL 29, 2024

Simple next-token generation, the foundational technique of large language models (LLMs), is usually insufficient for tackling complex reasoning tasks. To address this limitation, various research teams have explored innovative methodologies aimed at enhancing the reasoning capabilities of LLMs.

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AWS Machine Learning Blog

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests.

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TensorFlow

JUNE 6, 2023

Posted by Wei Wei, Developer Advocate Large language models (LLMs) are taking the world by storm, thanks to their powerful ability to generate text, translate languages, and answer questions in a coherent and informative way. We will discuss how LLMs can be incorporated into this retrieval-ranking pipeline.

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Towards AI

JANUARY 11, 2024

This week, we are excited to announce our AI Tutor chatbot with full access to 100+ lessons about RAG and LLMs from all three courses we’ve built and thousands of additional pages of helpful supporting tutorials and documentation. Author(s): Towards AI Editorial Team Originally published on Towards AI. Let’s get right into it.

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Viso.ai

MAY 24, 2024

However, understanding the differences between LAMs and LLMs is essential before diving into their components. LLMs VS. LAMs Feature Large Language Models (LLMs) Large Action Models (LAMs) What can it do Language Generation Task Execution and Completion Input Textual data Text, images, instruction, etc.

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AWS Machine Learning Blog

MAY 14, 2024

You can learn how to improve your LLMs with RLHF on Amazon SageMaker, see Improving your LLMs with RLHF on Amazon SageMaker. For instance, as decided by AI or desired by the user, a human can be called into an existing conversation and take over the discussion.

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Heartbeat

FEBRUARY 29, 2024

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

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Software Engineer Software Development LLM Large Language Models 52

AWS Machine Learning Blog

DECEMBER 22, 2023

We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps. TruLens evaluations use an abstraction of feedback functions. This notebook shows how to fine-tune models with SageMaker JumpStart.

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Topbots

FEBRUARY 19, 2024

In the rapidly evolving AI landscape, Large Language Models (LLMs) have emerged as powerful tools, driving innovation across various sectors. From enhancing customer service experiences to providing insightful data analysis, the applications of LLMs are vast and varied. Decide Between a Proprietary or Open-Source Foundation Model.

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Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Large Language Models The development of Large Language Models (LLMs) represents a huge step forward for Artificial Intelligence.

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The MLOps Blog

MARCH 12, 2024

TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. Retrieval Augmented Generation (RAG) enables LLMs to extract and synthesize information like an advanced search engine.

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AWS Machine Learning Blog

MAY 2, 2024

As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. Collecting diverse, subjective human feedback to refine LLMs is time-consuming and unscalable.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

They are able to connect insights across these diverse data types to gain a more comprehensive understanding and generate appropriate responses. Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data.

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Heartbeat

OCTOBER 19, 2023

An Introduction to Large Language Models (LLMs) Image credit: shaip.com In the rapidly evolving landscape of artificial intelligence and natural language processing, large language models (LLMs) have emerged as powerful tools capable of understanding, generating, and manipulating human language with unprecedented proficiency.

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deepsense.ai

OCTOBER 8, 2023

A comprehensive review of the state of the art in terms of code-writing agents. Introduction While the concept of AI agents has been around for decades, it is undeniable that recent advancements in Large Language Models (LLMs) have revolutionized this field, opening up a whole new realm of possibilities and applications.

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AWS Machine Learning Blog

MAY 25, 2023

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. A commonly used approach to address this problem is to use a technique called Retrieval Augmented Generation (RAG).

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Flipboard

DECEMBER 6, 2023

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. We continue to see emerging challenges stemming from the nature of the assortment of datasets available. These datasets are often a mix of numerical and text data, at times structured, unstructured, or semi-structured.

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Bugra Akyildiz

SEPTEMBER 24, 2023

Articles & Papers NVIDIA TensorRT LLM Supercharges Large Language Model Inference on H100 NVIDIA TensorRT LLM is a new library that optimizes the inference of large language models (LLMs) on NVIDIA H100 GPUs. TensorRT LLM works by compiling LLMs into highly optimized machine code that can be executed on NVIDIA GPUs.

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Towards AI

FEBRUARY 7, 2024

Other frameworks have built similar approaches, an easier way to build LLM workflows over your data like RAG systems, query unstructured data or structured data extraction. You can compose both sequential chains and directed acyclic graphs (DAGs) of arbitrary complexity in a more comprehensive style. How to use it?

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Bugra Akyildiz

OCTOBER 14, 2023

Articles Databricks wrote up a rather long article on how to optimize LLM inference to make the inference more efficient and introduce less latency. Some of the important points from this article are that memory bandwidth is key for LLM inference and that batching is critical for achieving high throughput.

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LLM Large Language Models Python Chatbots 52

AWS Machine Learning Blog

MAY 9, 2024

This post is co-written with Tom Famularo, Abhay Shah and Nicolette Kontor from Verisk. Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. The company is committed to ethical and responsible AI development, with human oversight and transparency.

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AWS Machine Learning Blog

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

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Viso.ai

JANUARY 2, 2024

Llama 2 is an open-source large language model (LLM) by Meta AI released in July 2023 with a pre-trained and fine-tuned version called Llama 2 Chat. Llama 2 is an open-source large language model (LLM) by Meta AI released in July 2023 with a pre-trained and fine-tuned version called Llama 2 Chat. Get a demo.

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Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

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Marktechpost

JUNE 15, 2023

Recent developments in artificial intelligence have concentrated on conversational assistants with great comprehension capabilities who can then act. It entails optimizing LLMs for a variety of activities that are described by varied and excellent instructions. LLaVA-Instruct-150K is inspirational, yet it has three drawbacks. (1)

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