Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. Kernel Auto-tuning : TensorRT automatically selects the best kernel for each operation, optimizing inference for a given GPU. build/tensorrt_llm*.whl

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Unite.AI

NOVEMBER 15, 2024

. “weathered wooden rocking chair with intricate carvings,”) Meshy AI's technology understands both the geometry and materials of objects, creating realistic 3D models with proper depth, textures, and lighting! Describe what you want to create and the AI will generate a beautifully textured model in under a minute.

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AI AI Prompt Engineering Prompt Engineer 276

Unite.AI

AUGUST 28, 2023

Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe. AI Agents vs. ChatGPT Many advanced AI agents, such as Auto-GPT and BabyAGI, utilize the GPT architecture. Their primary focus is to minimize the need for human intervention in AI task completion.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

With the rise of large language models (LLMs) like Meta Llama 3.1, there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. 8B model With the setup complete, you can now deploy the model using a Kubernetes deployment.

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AI News

AUGUST 15, 2023

The KL730 auto-grade NPU chip packs an integrated Image Signal Processor (ISP) and promises to bring secure and energy-efficient AI capabilities to an extensive range of applications, spanning from enterprise-edge servers to smart home appliances and advanced driving assistance systems. The KL730 is a game-changer for edge AI.

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NVIDIA

OCTOBER 17, 2023

Today, generative AI on PC is getting up to 4x faster via TensorRT-LLM for Windows, an open-source library that accelerates inference performance for the latest AI large language models, like Llama 2 and Code Llama. This follows the announcement of TensorRT-LLM for data centers last month.

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AssemblyAI

SEPTEMBER 29, 2023

Using Automatic Speech Recognition (also known as speech to text AI , speech AI, or ASR), companies can efficiently transcribe speech to text at scale, completing what used to be a laborious process in a fraction of the time. It would take weeks to filter and categorize all of the information to identify common issues or patterns.

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Unite.AI

MAY 29, 2024

Unlocking Unstructured Data with LLMs Leveraging large language models (LLMs) for unstructured data extraction is a compelling solution with distinct advantages that address critical challenges. Context-Aware Data Extraction LLMs possess strong contextual understanding, honed through extensive training on large datasets.

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Unite.AI

SEPTEMBER 11, 2023

With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue. Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs.

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Python Software Development OpenAI Software Engineer 328

AWS Machine Learning Blog

MAY 17, 2023

The performance and quality of the models also improved drastically with the number of parameters. These models span tasks like text-to-text, text-to-image, text-to-embedding, and more. You can use large language models (LLMs), more specifically, for tasks including summarization, metadata extraction, and question answering.

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Large Language Models Auto-complete ML Generative AI 98

IBM Journey to AI blog

SEPTEMBER 19, 2023

It can also modernize legacy code and translate code from one programming language to another. 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.

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Marktechpost

JANUARY 12, 2025

Researchers want to create a system that eventually learns to bypass humans completely by completing the research cycle without human involvement. Fudan University and the Shanghai Artificial Intelligence Laboratory have developed DOLPHIN, a closed-loop auto-research framework covering the entire scientific research process.

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AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

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Towards AI

MAY 6, 2024

Since Meta released the latest open-source Large Language Model (LLM), Llama3, various development tools and frameworks have been actively integrating Llama3. Copilot leverages natural language processing and machine learning to generate high-quality code snippets and context information.

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Unite.AI

OCTOBER 30, 2023

Scott Stevenson, is Co-Founder & CEO of Spellbook , a tool to automate legal work that is built on OpenAI's GPT-4 and other large language models (LLMs). Spellbook is further tuning the model using proprietary legal datasets. How does Spellbook suggest language for legal contracts?

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Auto-complete Software Engineer Large Language Models Automation 182

Flipboard

MAY 17, 2023

And so it is with the current shock and awe over large language models, such as GPT-4 from OpenAI. It gives an answer with complete confidence, and I sort of believe it. And half the time, it’s completely wrong.” The large language models are a little surprising. Rodney Brooks, Robust.AI

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Large Language Models Robotics Convolutional Neural Networks Neural Network 182

Marktechpost

MAY 10, 2024

This field primarily enhances machine understanding and generation of human language, serving as a backbone for various applications such as text summarization, translation, and auto-completion systems. Efficient language modeling faces significant hurdles, particularly with large models.

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Large Language Models Auto-complete BERT Machine Learning 124

Marktechpost

OCTOBER 1, 2024

Large Language Models (LLMs) have become a cornerstone in artificial intelligence, powering everything from chatbots and virtual assistants to advanced text generation and translation systems. Despite their prowess, one of the most pressing challenges associated with these models is the high cost of inference.

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Large Language Models LLM Prompt Engineer Prompt Engineering 67

Marktechpost

MARCH 6, 2025

Running large language models (LLMs) presents significant challenges due to their hardware demands, but numerous options exist to make these powerful tools accessible. Plug in the coffee maker and press the POWER button. Press the BREW button to start brewing.

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Large Language Models Auto-complete Prompt Engineering Prompt Engineer 52

Google Research AI blog

JUNE 6, 2023

We fine-tuned a large language model to proactively suggest relevant visuals in open-vocabulary conversations using a dataset we curated for this purpose. prompt": " →", "completion": " of " from " ; of " from " ; ?"} Examples of visual intent predictions by our model. We used 1276 (80%) examples from the VC1.5K

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Large Language Models Auto-complete UX Design Software Engineer 69

Marktechpost

JUNE 4, 2023

Large Language Models (LLMs) have successfully catered their way into the challenging areas of Artificial Intelligence. Large Language Models are often augmented with reasoning skills and the ability to use different tools.

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Marktechpost

NOVEMBER 29, 2023

This new approach allows for the drafting of multiple tokens simultaneously using a single model, combining the benefits of auto-regressive generation and speculative sampling. The PaSS method was evaluated on text and code completion tasks, exhibiting promising performance without compromising model quality.

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Auto-complete Large Language Models Natural Language Processing AI Researcher 107

Marktechpost

MAY 12, 2024

However, these models pose challenges, including computational complexity and GPU memory usage. Despite great success in various applications, there is an urgent need to find a cost-effective way to serve these models. Still, an increase in model size and generation length leads to an increase in memory usage of the KV cache.

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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 117

Towards AI

APRIL 7, 2024

Source : Image generated by author using Yarnit It is quite astonishing how Large Language Models or LLMs (GPT, Claude, Gemini etc.) It’s a powerful technology that can tackle a variety of natural language tasks. In their paper, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models”, Wei et.

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LLM Auto-complete Prompt Engineering Prompt Engineer 104

Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. In zero-shot learning, no examples of task completion are provided in the model.

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Marktechpost

JUNE 15, 2024

Artificial intelligence’s large language models (LLMs) have become essential tools due to their ability to process and generate human-like text, enabling them to perform various tasks. MAGPIE leverages the auto-regressive nature of aligned LLMs to generate high-quality instruction data at scale.

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Prompt Engineer Prompt Engineering Auto-complete Large Language Models 132

AWS Machine Learning Blog

FEBRUARY 25, 2025

Next you need to index this data to make it available for a Retrieval Augmented Generation (RAG) approach where relevant passages are delivered with high accuracy to a large language model (LLM). Additionally, you might need to hire and staff a large team to build, maintain, and manage such a system.

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Marktechpost

APRIL 16, 2024

Quick Start Guide to Large Language Models This book guides how to work with, integrate, and deploy LLMs to solve real-world problems. The book covers the inner workings of LLMs and provides sample codes for working with models like GPT-4, BERT, T5, LLaMA, etc.

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Large Language Models Auto-complete Prompt Engineer Prompt Engineering 103

IBM Journey to AI blog

NOVEMBER 24, 2023

Generating configuration management inputs (for CMDB)and changing management inputs based on release notes generated from Agility tool work items completed per release are key Generative AI leverage areas. The ability to generate insights for security validation (from application and platform logs, design points, IAC, etc.)

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AWS Machine Learning Blog

MARCH 15, 2024

The FedML framework is model agnostic, including recently added support for large language models (LLMs). For more information, refer to Releasing FedLLM: Build Your Own Large Language Models on Proprietary Data using the FedML Platform. Choose New Application.

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Auto-complete Auto-classification Machine Learning ML 137

Flipboard

JUNE 13, 2023

Large language models are great at this kind of focused, pattern-based code building. The auto-complete and auto-suggestions in Visual Studio Code are pretty good, too, without being annoying. Intellisense and language plugins like Pylance have been around for a while.

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Generative AI Auto-complete Software Engineer AI 181

Unite.AI

MAY 27, 2024

Recent Advances in Prompt Engineering Prompt engineering is evolving rapidly, and several innovative techniques have emerged to improve the performance of large language models (LLMs). Performance: On various benchmark reasoning tasks, Auto-CoT has matched or exceeded the performance of manual CoT prompting.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Since 2018, using state-of-the-art proprietary and open source large language models (LLMs), our flagship product— Rad AI Impressions — has significantly reduced the time radiologists spend dictating reports, by generating Impression sections. 3 seconds, with minimal latency.

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Machine Learning ML AI AI 111

Towards AI

APRIL 15, 2023

Each model identifies a set of tasks, and these tasks are then delegated to other agents for further execution. AutoGPT spawns tasks recursively As these models become increasingly powerful, we must ask ourselves: what does the future hold for them? GPT-4 text generation: Auto-GPT uses GPT-4 for text generation.

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Marktechpost

SEPTEMBER 17, 2024

Recent advancements in large language models (LLMs) have shown potential in automating this process, such as generating code or commands to resolve issues. The Auto set consists of 604 automatically generated tasks designed for large-scale development and fine-tuning of models.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3. are harnessed to channel LLMs output.

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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52