Unite.AI

SEPTEMBER 7, 2023

Today, there are numerous proprietary and open-source LLMs in the market that are revolutionizing industries and bringing transformative changes in how businesses function. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

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LLM Large Language Models Prompt Engineer Prompt Engineering 173

AI Weekly

MAY 2, 2024

theverge.com Sponsor When Generative AI Gets It Wrong, TrainAI Helps Make It Right TrainAI provides prompt engineering, response refinement and red teaming with locale-specific domain experts to fine-tune generative AI. Planning a GenAI or LLM project? techxplore.com Sponsor Planning a GenAI or LLM Project? techmonitor.ai

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OpenAI Natural Language Processing Robotics LLM 147

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. Various prompting techniques, such as Zero/Few Shot, Chain-of-Thought (CoT)/Self-Consistency, ReAct, etc.

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Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

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Prompt Engineer Prompt Engineering Computer Vision Machine Learning 90

Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 98

ODSC - Open Data Science

AUGUST 17, 2023

Evolving Trends in Prompt Engineering, a Primer to Scaling Pandas, and Enriching ERP with Generative AI Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices In this blog post, our objective is to illuminate the constantly evolving research around the LLMs space, including prompt engineering.

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Prompt Engineer Prompt Engineering Natural Language Processing Artificial Intelligence 52

Unite.AI

OCTOBER 19, 2023

GPT-4 is a type of LLM called an auto-regressive model which is based on the transformers model. How LLM generates output Once GPT-4 starts giving answers, it uses the words it has already created to make new ones. Even small changes in the prompt can make the model give very different answers. This is called prompt engineering.

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Prompt Engineer Prompt Engineering Large Language Models LLM 277

Analytics Vidhya

MAY 8, 2023

Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.

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ChatGPT Natural Language Processing Large Language Models LLM 236

Marktechpost

DECEMBER 29, 2023

Often, LLMs exhibit inconsistencies and inaccuracies, manifesting as hallucinations in outputs, which impede their applicability in diverse real-world situations. Traditional methods primarily revolve around refining these models through extensive training on large datasets and prompt engineering.

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LLM Large Language Models Natural Language Processing Prompt Engineer 120

ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. In addition, we’ll discuss a variety of tools that form the modern LLM application development stack.

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Prompt Engineer Prompt Engineering Data Science Data Scientist 52

Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). These models are trained on massive amounts of text data to learn patterns and relationships in the language.

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Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 109

Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. RL offers a natural solution to bridge the gap between the optimized object (e.g.,

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LLM AI Researcher AI Research Prompt Engineer 98

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. This step effectively communicates the information and context with the LLM , ensuring a comprehensive understanding for accurate output generation.

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LLM Large Language Models Chatbots Natural Language Processing 243

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

Machine Learning Research at Apple

DECEMBER 17, 2023

With the help of creative prompt engineering and in-context learning, large language models (LLMs) are known to generalize well on a variety of text-based natural language processing (NLP) tasks.

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Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 64

Marktechpost

MARCH 3, 2024

Researchers from Arizona State University, the University of Virginia, ByteDance Research, and the University of Illinois Chicago present a survey on the role of LLMs in Data Annotation. The methodology leveraging LLMs for data annotation extends beyond simple automation. Check out the Paper.

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Large Language Models Prompt Engineer Prompt Engineering Machine Learning 104

Unite.AI

JULY 26, 2023

The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. This makes us all prompt engineers to a certain degree. Venture capitalists are pouring funds into startups focusing on prompt engineering, like Vellum AI.

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Prompt Engineer Prompt Engineering ChatGPT Large Language Models 246

Marktechpost

SEPTEMBER 14, 2023

LLMs like GPT-3.5 have pushed the boundaries of what’s possible in natural language processing. DM maintains conversational flow, sends prompts to LLM, and processes responses. Prompt engineering ensures natural responses from LLM.

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Large Language Models Robotics Natural Language Processing Prompt Engineer 127

Towards AI

JANUARY 30, 2024

The 12 groups are as follows — Types of Models Common LLM Terms LLM Lifecycle Stages LLM Evaluations LLM Architecture Retrieval Augmented Generation (RAG) LLM Agents LMM Architecture Cost & Efficiency LLM Security Deployment & Inference A list of providers supporting LLMOps Like the generative AI space, this taxonomy is also evolving.

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Generative AI LLM Prompt Engineer Prompt Engineering 85

ODSC - Open Data Science

NOVEMBER 8, 2023

In this blog, we’ll explore ten key aspects of building generative AI applications, including large language model basics, fine-tuning, and core NLP competencies. LLM Basics First and foremost, you need to understand the basics of generative AI and LLMs, such as key terminology, uses, potential issues, and primary frameworks.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks.

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Generative AI LLM Natural Language Processing Metadata 111

Salmon Run

FEBRUARY 24, 2024

I got into Natural Language Processing (NLP) and Machine Learning (ML) through Search. RAG started out relatively simple -- take a query, generate search results, use search results as context for a Large Language Model (LLM) to generate an abstractive summary of the results.

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Large Language Models Natural Language Processing NLP Machine Learning 59

Topbots

JULY 24, 2023

Harnessing the full potential of AI requires mastering prompt engineering. This article provides essential strategies for writing effective prompts relevant to your specific users. The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications.

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Prompt Engineer Prompt Engineering LLM ChatGPT 98

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). The way we create and manage AI-powered products is evolving because of LLMs.

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Large Language Models Natural Language Processing LLM Machine Learning 52

AWS Machine Learning Blog

DECEMBER 14, 2023

Retrieval Augmented Generation (RAG) is a process in which a language model retrieves contextual documents from an external data source and uses this information to generate more accurate and informative text. This technique is particularly useful for knowledge-intensive natural language processing (NLP) tasks.

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Natural Language Processing LLM Prompt Engineer Prompt Engineering 94

ODSC - Open Data Science

AUGUST 15, 2023

Troubleshooting Search and Retrieval with LLMs Xander Song | Machine Learning Engineer and Developer Advocate | Arize AI Some of the major challenges in deploying LLM applications are the accuracy of results and hallucinations.

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Software Architect Data Scientist Data Science Machine Learning 52

Viso.ai

FEBRUARY 21, 2024

For the end-user, these prompts are part of the LLM interface, which they use to interact with the model. In short, prompts are instructions in the form of natural text, images, or just data that help the model perform certain tasks. The quality and performance of the LLM depend on the quality of the prompt it is given.

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Prompt Engineer Prompt Engineering Computer Vision LLM 52

Towards AI

FEBRUARY 15, 2023

But it is difficult to know how the ecosystem will play out and what capabilities and products will be built into the LLMs and owned by the likes of OpenAI, Microsoft, and Google and which will be performed by the surrounding startup ecosystem. Hottest News 1. Three 5-minute reads/videos to keep you learning 1.

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Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 88

The MLOps Blog

FEBRUARY 15, 2024

Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. The rapid advancements of Large Language Models (LLMs) are changing the day-to-day work of ML practitioners and how company leadership thinks about AI.

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NLP Natural Language Processing Data Scientist Software Engineer 59

ODSC - Open Data Science

JULY 3, 2023

Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. The post-training alignment process results in improved performance on measures of factuality and adherence to a desired behavior. Dolly Dolly 2.0

Large Language Models 98

Large Language Models Natural Language Processing Data Science Prompt Engineer 98

AWS Machine Learning Blog

OCTOBER 31, 2023

Generative AI Generative AI and large language models (LLMs) are transforming the way business organizations are able to solve traditionally complex challenges related to natural language processing and understanding. Augmenting the LLM with Google search guarantees the most up-to-date information.

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LLM Large Language Models ML Machine Learning 100

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps. They have deep end-to-end ML and natural language processing (NLP) expertise and data science skills, and massive data labeler and editor teams.

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Generative AI Prompt Engineer Prompt Engineering AI 103

Towards AI

MAY 12, 2023

To make the comparison more “fair” and closer to a real-life setting, besides testing GPT models in a zero-shot manner, we downstream them using prompt engineering techniques and showed the same set of correctly labeled examples to the models and the Tolokers. of a dataset was used for selecting the best prompt for a task, and the 0.9

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Prompt Engineer Prompt Engineering Large Language Models LLM 81

AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. You can also access the foundation models thru Amazon SageMaker Studio.

NLP 71

NLP Robotics Prompt Engineer Prompt Engineering 71

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. The diagram visualizes the architecture of an AI system powered by a Large Language Model and Agents.

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Auto-complete ChatGPT Large Language Models AI 240

Heartbeat

OCTOBER 5, 2023

The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

DECEMBER 1, 2023

You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning. First you’ll delve into the history of NLP, with a focus on how Transformer architecture contributed to the creation of large language models (LLMs).

Data Science 52

Data Science Large Language Models DevOps Machine Learning 52