Towards AI

MARCH 15, 2024

Photo by Martin Martz on Unsplash A new trend has recently reshaped our approach to building software applications: the rise of large language models (LLMs) and their integration into software development. Let’s look at LLM-powered application characters first.

Large Language Models 102

Large Language Models LLM Software Engineer Prompt Engineer 102

Towards AI

MARCH 28, 2024

This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings. The design is similar to a traditional application but considers LLM-powered application-specific characters and components.

Large Language Models 75

Large Language Models Prompt Engineer Prompt Engineering AI 75

Towards AI

AUGUST 31, 2023

Part 1 — Understanding Prompt Engineering Techniques This member-only story is on us. Prompting techniques. If you still don’t know what prompting is, then you are probably living under a rock or probably just woke up from a comma. A good prompt can generate great results whereas a bad prompt can spoil the experience.

OpenAI 108

OpenAI Prompt Engineer Prompt Engineering LLM 108

ODSC - Open Data Science

SEPTEMBER 20, 2023

Adam Ross Nelson on Confident Data Science In this interview, we talk about what confident data science is, how data scientists can confidently and ethically use AI, and emerging fields like prompt engineering. How to Land a Job After a Data Science Bootcamp You just finished your data science bootcamp, what’s next? Sale ends Thursday!

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Data Scientist 98

deepsense.ai

JULY 30, 2023

Model training is only a small part of a typical machine learning project (source: own study) Of course, in the context of Large Language Models, we often talk about just fine tuning, few-shot learning or just prompt engineering instead of a full training procedure. Why are these elements so important? monitoring and automation).

Large Language Models 76

Large Language Models LLM Machine Learning Automation 76

ODSC - Open Data Science

SEPTEMBER 13, 2023

What It’s Like to Be a Prompt Engineer Prompt engineers work closely with other engineers, scientists, and product managers to ensure that LLMs are accurate, reliable, and scalable. Indigos-Inspired Machine Learning as a Poetic Search for Insight Tired of love songs and sad poems?

Prompt Engineer 52

Prompt Engineer Prompt Engineering Data Scientist Machine Learning 52

Flipboard

JUNE 13, 2023

Diamond Bishop , CEO and co-founder at Augmend , a Seattle collaboration software startup Diamond Bishop, CEO of Augmend. Augmend Photo) “AI is making it so small startups like ours can accelerate all aspects of the software development lifecycle.

Generative AI 175

Generative AI Auto-complete Software Engineer AI 175

ODSC - Open Data Science

NOVEMBER 20, 2023

Prompt Optimization with GPT-4 and Langchain Mike Taylor | Owner | Saxifrage In this session, Mike Taylor discusses how you can use prompt engineering at scale — as part of a template, workflow, or product. You’ll explore the challenges encountered and emerging solutions and architectures developed.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models LLM 52

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring.

Generative AI 122

Generative AI LLM ML AI 122

ODSC - Open Data Science

JANUARY 10, 2024

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

Large Language Models 52

Large Language Models LLM Deep Learning ML 52

AWS Machine Learning Blog

SEPTEMBER 22, 2023

Gone are the days when you need unnatural prompt engineering to get base models, such as GPT-3, to solve your tasks. Then, the LLM must be fine-tuned to maximize the reward model’s estimated reward without drifting too far from the original model. An important caveat of RLHF is that it is a complex and often unstable procedure.

Machine Learning 97

Machine Learning LLM Computer Vision Large Language Models 97

deepsense.ai

OCTOBER 30, 2023

In this blog post we walk you through our journey creating an LLM-based code writing agent from scratch – fine tuned-for your needs and processes – and we share our experience of how to improve it iteratively. Our solution excels in planning due to effective prompt engineering with few-shot examples.

LLM 98

LLM Data Science Software Engineer Software Development 98

Pickl AI

AUGUST 2, 2023

Software Development ChatGPT can assist developers in writing code snippets, explaining complex programming concepts, or troubleshooting issues. The next opportunity is provided by the web platform Ora.sh, which facilitates the quick development of LLM apps within a shareable chat interface.

ChatGPT 52

ChatGPT Neural Network Prompt Engineer Prompt Engineering 52

Unite.AI

SEPTEMBER 27, 2023

Having been there for over a year, I've recently observed a significant increase in LLM use cases across all divisions for task automation and the construction of robust, secure AI systems. Every financial service aims to craft its own fine-tuned LLMs using open-source models like LLAMA 2 or Falcon.

Generative AI 304

Generative AI Large Language Models Prompt Engineer Prompt Engineering 304

Snorkel AI

JANUARY 16, 2024

Alex Ratner spoke with Douwe Keila, an author of the original paper about retrieval augmented generation (RAG) at Snorkel AI’s Enterprise LLM Summit in October 2023. This is one big issue I have with prompt engineering these days. You literally develop and tune your prompts on it, which is cheating, right?

Prompt Engineer 52

Prompt Engineer Prompt Engineering Neural Network LLM 52

Unite.AI

SEPTEMBER 11, 2023

Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks. Enter MetaGPT — a Multi-agent system that utilizes Large Language models by Sirui Hong fuses Standardized Operating Procedures (SOPs) with LLM-based multi-agent systems.

Python 328

Python OpenAI Software Development Software Engineer 328

Flipboard

DECEMBER 6, 2023

The following are some of the experiments that were conducted by the team, along with the challenges identified and lessons learned: Pre-training – Q4 understood the complexity and challenges that come with pre-training an LLM using its own dataset. The context is finally used to augment the input prompt for a summarization step.

Chatbots 130

Chatbots LLM Prompt Engineer Prompt Engineering 130

AWS Machine Learning Blog

MAY 9, 2024

LLM Linguistics – Although appropriate context can be retrieved from enterprise data sources, the underlying LLM handles linguistics and fluency. Verisk’s solution represents a compound AI system, involving multiple interacting components and making numerous calls to the LLM to furnish responses to the user.

Insight Engine 114

Insight Engine Generative AI LLM AI 114

AWS Machine Learning Blog

NOVEMBER 6, 2023

In this example, we use our Live Call Analytics with Agent Assist (LCA) solution to generate real-time call transcriptions and call summaries with LLMs hosted on Amazon Bedrock. Example call summarization prompt You can run LLM inferences with prompt engineering to generate and improve your call summaries.

Automation 104

Automation Generative AI LLM AI 104

AWS Machine Learning Blog

SEPTEMBER 14, 2023

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. The PII is not stored, used by Amazon Kendra, or fed to the LLM.

Generative AI 94

Generative AI LLM Large Language Models Software Engineer 94

deepsense.ai

DECEMBER 20, 2023

Next year is expected to be a year of transitioning LLM-based applications from research to production. What’s more, we collaborate closely with LangChain, the leading framework for creating LLM-powered applications. Additionally, tools to distill LLM knowledge into smaller, more efficient specialist models are yet to be developed.

AI 70

AI AI Software Development LLM 70

Topbots

SEPTEMBER 11, 2023

AI development is a highly collaborative enterprise. In traditional software development, you work with a relatively clear dichotomy consisting of the backend and the frontend components. All of this might require new skills on your team such as prompt engineering and conversational design.

AI 59

AI AI UX Design Automation 59

Mlearning.ai

JUNE 16, 2023

Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. SDLC stages Let’s review software development lifecycle first. Then software development phases are planned to deliver the software.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52

ODSC - Open Data Science

SEPTEMBER 8, 2023

If you’re fascinated by data engineering, machine learning, and the pivotal role of orchestrators. Upcoming Webinars: Lightning Interview: “Your LLM, Your Data, Your Infrastructure” Fri, Sep 8, 2023 1:15–2:00 PM EDT LLMs are the biggest thing in data science and AI right now, but how do you get started?

ChatGPT 52

ChatGPT Large Language Models Data Scientist Neural Network 52

Unite.AI

MARCH 13, 2024

Advanced techniques like transfer learning, retrieval-augmented generation, and prompt engineering are often employed to enhance the model's performance and adapt it to the target domain. Here are some notable examples: Legal Domain Law LLM Assistant SaulLM-7B Equall.ai

Large Language Models 204

Large Language Models Natural Language Processing LLM Data Scarcity 204

AWS Machine Learning Blog

JULY 18, 2023

This blog post introduces a powerful solution for augmenting Amazon Lex with LLM-based FAQ features using the Retrieval Augmented Generation (RAG). In addition, we will also demonstrate Amazon Lex integration with LlamaIndex, which is an open-source data framework that provides knowledge source and format flexibility to the bot developer.

LLM 80

LLM Chatbots Large Language Models Artificial Intelligence 80

Marktechpost

JANUARY 3, 2024

Significance The following are some tools that can used for LLM application development: LangChain LangChain, an open-source framework, empowers developers in AI and machine learning to seamlessly integrate large language models like OpenAI’s GPT-3.5

LLM 124

LLM Large Language Models Chatbots Machine Learning 124

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.

ETL 112

ETL Prompt Engineer Prompt Engineering Generative AI 112