Top Tweets for #LLMSearch
#AI didn’t replace the #affiliatemarketing channel. It expanded its job description. #AffiliateStrategy is becoming DISCOVERY strategy. Why? For these very reasons. #LLMsearch #digitaldiscovery #performancemarketing https://t.co/pvcPJskx4H

Seo is dead !!!
Heard this statement numerous times since 2005.
But the fact is,
Seo is like the energy.
It keeps evolving itself from one form to another.
And in this LLM era, it's going to be more fun.
Thoughts?
#seo #geo #llmsearch
Google just unveiled its 2024 vision for Generative AI in healthcare, and it aligns with what I have been sharing in my public talks.
Essentially, there are 3 main opportunities:
1️⃣ Near-term: Reducing administrative work
The immediate focus is on reducing the administrative burden for healthcare professionals. We're looking at applications that automate mundane tasks-automated coding, report generation, note summarization, and medical transcription.
This will not only increase the efficiency of healthcare facilities by allowing staff to focus more on patient care rather than paperwork but also reduce the likelihood of human error and burnout.
Notably, these applications could reach the market swiftly, with minimal regulatory hurdles.
Examples include the Epic + Microsoft collaboration to improve clinical documentation (https://t.co/QlJi3gDw5Q), Nabla's recent $24 million Series B funding for medical transcription (https://t.co/r5buSuJVJc), and many more.
2️⃣ Short-term: Clinical care support
The short-term goal would be to provide support for clinical care through technology. Applications will be created that can assist frontline workers and patients by providing accurate medical information.
These may include GenAI-powered search agents, which can offer instant responses to medical queries, aid in decision-making, and further provide evidence-based recommendations.
This could improve the quality of care by making reliable information more accessible and by supporting healthcare providers in their diagnostic and treatment processes.
Google Cloud's collaboration with Mayo Clinic in developing enterprise search capabilities with GenAI is a good example of this progress (https://t.co/NwanA6xCZr).
3️⃣ Moonshot: Personalized care
The moonshot goal would be to use foundation models to crack the holy grail in medicine, which is creating personalized care journeys for patients, including diagnostics and treatment recommendations tailored to the individual.
These multimodal models would be able to analyze a patient's unique health profile and predict the most effective treatments, leading to better patient outcomes and a more personalized healthcare experience.
A good example of where this future lies is the 2023 Nature paper (https://t.co/NmD1mVaOCp) that showed that LLMs can outperform traditional models in predicting hospital mortality and readmission rates by evaluating unstructured clinical records.
Google’s 3 predictions for AI in healthcare in 2024: https://t.co/F5gvQmjotS

Today, we’re launching our Search UI sample application. Check out our latest blog by @ofermend and @cjcenizal to learn how to build a modern search user interface that utilizes Vectara’s Search API:
https://t.co/mkyR3B8LBr
#UI #llmsearch
.@debarghya_das breaks down how LLM search encodes documents into long numerical sequences to represent meaning. It’s great to see Vectara included on his list of modern LLM search databases. https://t.co/pOil4DCrfG
#LLMsearch
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