article thumbnail

How to Use Generative AI and LLMs to Improve Search

TechEmpower SaaS

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

AI Search 519
article thumbnail

The VP of AI Trap: Why Hiring One Exec Won’t Transform Your Company. In Fact, It May Make It Worse.

SaaStr

” I saw a term sheet the other day where a leading VC firm reserved $1m of the round … for hiring a “VP of AI” Leadership teams scrambling to post job descriptions for “Head of Artificial Intelligence.” ” Recruiters cold-calling anyone with “machine learning” on their LinkedIn.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Context.ai - Unlocking Insight into LLM-Based Applications

Tom Tunguz

Large-language models have transformed how millions interact with products : from customer support to code generation to legal document analysis. These new engagement models invite users through a meaningfully different product journey. is a product analytics platform for LLM-powered applications. Context.ai

article thumbnail

Generative AI – The End of Empty Textboxes

TechEmpower SaaS

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. The information provided was all pulled from data he’s already entered - just Mark, Houston, Math Teacher, Teach for America.

article thumbnail

5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

article thumbnail

The Fracking of Information

Tom Tunguz

Large language models enable fracking of documents. But LLMs do this beautifully, pumping value from one of the hardest places to mine. We are tinkering with deploying large language models on top of them. Historically, extracting value from unstructured text files has been difficult.

article thumbnail

How AI Infrastructure Will Power the Future with Oracle and Bain Capital Ventures

SaaStr

Today, it’s all about having enough raw physical power to power artificial intelligence. What Are We Most Underprepared For With AI “I don’t know if everyone realizes how much better these models are going to get over the next couple of years,” Aaref shares. Head of the Global VC Practice at Oracle, J.D.

AI 258
article thumbnail

A Page From an Information Professional’s Book of Secrets: The Right Time to Deploy Your AI

Speaker: Dick Stark and Casey Steenport

70% of business decision-makers, information management professionals, and IT experts say that employees focus on more meaningful work with AI compared to those without it. The big buzz is around Artificial Intelligence, and how it can help information management and IT service delivery teams crush their goals.

article thumbnail

The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

They were making huge historical decisions based on very little information. As the disease tragically took more and more lives, policymakers were confronted with widely divergent predictions of how many more lives might be lost and the best ways to protect people.

article thumbnail

The Recruiting Crossword Puzzle

On top of ever-increasing advancements on the technology front (hello, artificial intelligence), try adding record-low unemployment and candidates’ virtual omnipresence and you’ve got yourself a pretty passive, well-informed, and crowded recruiting landscape. The good news?