ODSC - Open Data Science

OCTOBER 3, 2023

Who hasn’t seen the news surrounding one of the latest jobs created by AI, that of prompt engineering ? If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text.

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ODSC - Open Data Science

FEBRUARY 16, 2024

Recently, we posted an in-depth article about the skills needed to get a job in prompt engineering. Now, what do prompt engineering job descriptions actually want you to do? Here are some common prompt engineering use cases that employers are looking for.

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Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. What is prompt engineering? For developing any GPT-3 application, it is important to have a proper training prompt along with its design and content.

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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

ODSC - Open Data Science

JULY 31, 2023

With the explosion in user growth with AIs such as ChatGPT and Google’s Bard , prompt engineering is fast becoming better understood for its value. If you’re unfamiliar with the term, prompt engineering is a crucial technique for effectively utilizing text-based large language models (LLMs) like ChatGPT and Bard.

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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. 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

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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Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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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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Towards AI

SEPTEMBER 10, 2023

Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.

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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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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. on a variety of NLP tasks. Figure 1 depicts a sample of the summarising job.

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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. Prompt engineering is crucial to steering LLMs effectively.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

Towards AI

SEPTEMBER 10, 2023

Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.

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LLM Prompt Engineer Prompt Engineering Large Language Models 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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John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). billion by 2028, LLMs play a pivotal role in this growth trajectory. At the recent NLP Summit, experts from academia and industry shared their insights.

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Towards AI

MARCH 17, 2023

Large Language Models (LLMs) have come a long way in recent years. From fluent dialogue generation to text summarisation, and article generation, language models have made it extremely easy for anyone to build an NLP-powered product. The LLM itself can be conveniently accessed through a simple API call.

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Analytics Vidhya

MAY 15, 2023

Microsoft AI Research has recently introduced a new framework called Automatic Prompt Optimization (APO) to significantly improve the performance of large language models (LLMs). This framework is designed to help users create better prompts with minimal manual intervention & optimize prompt engineering for better results.

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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). LLMs can perform many types of language tasks, such as translating languages, analyzing sentiments, chatbot conversations etc.

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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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Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. is currently the state-of-the-art LLM. Handcrafted.

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Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. is currently the state-of-the-art LLM. Handcrafted.

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LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry. Imagine you're trying to translate English to French.

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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

Unite.AI

NOVEMBER 30, 2023

Randy and I both come from finance and algorithmic trading backgrounds, which led us to take the concept of matching requests with answers to build our own NLP for hyper-specific inquiries that would get asked at locations. We had a scheduled press release to announce our patent-pending Context-based NLP upgrade for December 6, 2022.

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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.

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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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ODSC - Open Data Science

FEBRUARY 6, 2024

Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn | Chief Data Scientist | Nebula.io

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ODSC - Open Data Science

AUGUST 21, 2023

Though some positions may require extensive training and understanding of fields such as math, NLP , machine learning principles, and more, others seem to only require a fundamental understanding of AI with a greater emphasis on creativity. So it’s no wonder that the company is in search of a data scientist to specialize in NLP.

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TheSequence

JUNE 7, 2023

Later, during my PhD, the rate of progress in AI and NLP totally staggered me. 🛠 ML Work Humanloop is one of the emerging platforms in the LLM application development space. Prompt engineering was more art than science. TheSequence is a reader-supported publication. Evaluation is subjective and difficult.

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LLM Machine Learning Generative AI Prompt Engineer 72

Explosion

NOVEMBER 28, 2023

Throughout 2023, we have introduced support for Large Language Models (LLMs) through spacy-llm, added customizable task routing, expanded our QA features with inter-annotator agreement metrics, infused more interactivity into the UI, and shared several open-source Prodigy plug-ins with the community. For example, as of v1.14.0

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Large Language Models LLM Prompt Engineer Prompt Engineering 78

Ehud Reiter

APRIL 22, 2024

Which is hardly surprising, but I dont see much discussion in the NLP literature about different types of human-in-loop workflows, and indeed the kind of user-interfaces (and user training) which would best support the different workflows. They are good at generating texts, but their biggest impact may come from novel applications.

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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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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. The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

included the Slate family of encoder-only models useful for enterprise NLP tasks. Through prompt engineering and tuning techniques underway, clients can responsibly use their own enterprise data to achieve greater accuracy in the model outputs, to create a competitive edge. ” The initial release of watsonx.ai

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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. Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape.

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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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