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Tout savoir sur les vitamines et minéraux

Les bots d'IA les plus populaires vus sur le réseau de Cloudflare en termes de volume de requêtes.

Cloudflare a dévoilé une nouvelle fonctionnalité de son réseau de diffusion de contenu (CDN) qui empêche les développeurs d'IA de récupérer du contenu sur le web. En examinant le nombre de requêtes adressées aux sites de Cloudflare, Cloudflare a constaté que Bytespider, Amazonbot, ClaudeBot et GPTBot sont les quatre principaux crawlers d'IA. Exploité par ByteDance, la société chinoise propriétaire de TikTok, Bytespider serait utilisé pour recueillir des données d'entraînement pour ses grands modèles linguistiques (LLM), y compris ceux qui soutiennent son rival ChatGPT, Doubao. Amazonbot et ClaudeBot suivent Bytespider en termes de volume de requêtes. Amazonbot, qui serait utilisé pour indexer le contenu pour les questions-réponses d'Alexa, a envoyé le deuxième plus grand nombre de requêtes et ClaudeBot, utilisé pour former le chat bot Claude, a récemment augmenté son volume de requêtes.

GraphReader approach, consisting of graph construction, graph exploration, andanswer reasoning

How to Make AI Sound Funny

TELeR : A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks

AI Agents - The Ultimate Market Map

Generative AI Agent Matrix

Taxonomy Diagram of Prompt Engineering Methods Across Different NLP Tasks

The rise and rise of AI-based Large Language Models (LLMs)

Graph languages

AI in education - Examples of prompts for thinking in the paper

These sorts of prompts are designed to expose Illusory Knowledge, forcing students to confront what they know and don’t know.

LMM Large Multimodal Models: Beyond Text And Images

Multimodal AI

Digital assistants can learn more about you and the environment around you by utilizing multimodal AI, which gains even more power when it can operate on your device and processes various inputs such as text, photos, and video.

Large Multimodal Models(LMM)

Even with its infinite intelligence, generative artificial intelligence (AI) can only do so much because of how well it perceives its environment. Large multimodal models (LMMs) are able to examine text, photos, videos, radio frequency data, and even voice searches in order to offer more precise and pertinent responses.

It’s an important step in the development of generative AI after the widely used Large Language Models (LLMs), which included the ChatGPT initial model, which could only process text. Your PC, smartphone, and productivity apps will all benefit greatly from this improved ability to comprehend what you see and hear. Digital assistants and productivity tools will also become much more helpful. And the procedure will be quicker, more private, and power-efficient if the device can manage these processes.

LLaVA: Large Language and Vision Assistant

Qualcomm Technologies is dedicated on making multimodal AI available on devices. Large Language and Vision Assistant (LLaVA), a community-driven LMM with over seven billion parameters, was initially demonstrated by us back in February on an Android phone powered by the Snapdragon 8 Gen 3 Mobile Platform. In this demonstration, the phone could “recognize” images, such as a dish of fruits and vegetables or a dog in an open environment, and carry on a conversation with them. One may ask to have a recipe made with the things on the platter, or they could ask for an estimate of how many calories the recipe will include overall. Take a look at it:

The AI of the future is multimodal

Multimodal AI 2024

Given the increased clamor surrounding multimodal, this work is crucial. Microsoft unveiled the Phi-3.5 family of devices last week, which offers visual and multilingual support. This came after Google touted LMMs during its Made by Google event, wherein the multimodal input model Gemini Nano was unveiled. GPT-4 Omni, an original multimodal model from OpenAI, was unveiled in May. This comes after comparable research from Meta and community-developed models like LLaVA.

When combined, these developments show the direction that artificial intelligence is taking. It goes beyond simply having you type questions at a prompt. Qualcomm’s goal is to make these AI experiences available on billions of phones worldwide.

Qualcomm Technologies is collaborating with Google to enable the next generation of Gemini on Snapdragon, and it is working with a wide range of firms that are producing LMMs and LLMs, such as Meta’s Llama series. With the help of their partners, these models operate seamlessly on Snapdragon, and they can’t wait to surprise customers with more on-device AI features this year and the next.

While an Android phone is a great place to start when utilizing multimodal inputs, other categories will soon reap the benefits as well. For example, smart glasses that can scan your food and provide nutritional information, or cars that can comprehend your voice commands and help you while driving, are just a few examples of how multimodal inputs will benefit you.

Numerous difficult jobs can be completed via multimodal AI

These are just the beginning for multimodal AI, which may use a mix of cameras, microphones, and vehicle sensors to identify disinterested passengers in the back of an automobile and provide entertaining activities to pass the time. Additionally, it might make it possible for smart glasses to identify exercise equipment at a health club and generate a personalized training schedule for you.

The precision facilitated by multimodal AI will be important in aiding a field technician to diagnose problems with your household appliances or in guiding a farmer to pinpoint the root cause of crop-related problems.

The concept is that by utilizing cameras, microphones, and other sensors, these devices which start with phones, PCs, automobiles, and smart glasses can enable the AI assistant to “see” and “hear” in order to provide more insightful contextual responses.

The significance of on a device

Your phone or car must have sufficient processing capacity to handle those requests in order for all those added capabilities to function optimally. Since the battery on your phone must last the entire day, trillions of operations must occur quickly and effectively when using it. By using the device, you can avoid waiting for servers to react when they are too busy to ping the cloud. They’re also more private because you keep your device and the answers you receive with you.

That has been Qualcomm Technologies’ top concern. Handsets can handle a lot of processing on the phone itself because to the Snapdragon 8 Gen 3 processor’s Hexagon NPU. Likewise, the Snapdragon X Elite and Snapdragon X Plus Platforms enable more than 20 Copilot+ PCs on the market today to manage complex AI functions on the device.

Read more on govindhtech.com

LoveLetter Mariola 💛

Mariola used to be Sun, which you could never tell by her color palette absolutely not what are you talking about?

She helps people through and with platonic relationships of all kinds

She’s absolutely like a big sister and will let you have fun but will make sure you’re doing it as safely as possible

They tend to be a big proponent of having fun, absolutely fitting into the label of a party girl

She tends to rope Solei into taking breaks with her antics, even if he doesn’t realize it sometimes

From Callisto’s words, she’s the best person to play house with because of the sheer energy she puts into it

She’s an expert in all things herbal, while her sibling is the flower expert

Kore and Mariola are twins, coming into being at the same time, however they aren’t THE twins

Mariola is the one who originally dyed Solei and Callisto’s hair

She uses both she her and they them pronouns and she’s very fem

Second shortest: 5 foot 6

Clubs motif

Mariola is of Irish Descent 

Mariola makes an excellent baker and prefers to make any types of sweet breads, especially pumpkin bread

They tend to kick in their sleep at times, so she usually sleeps on her own, she’s also a sprawler

....Lol, say sike.

Or say "AI is the only sponsors we can get so we are going to call anyone who disagrees with that privileged, ableist and classist".

this reply kills me 😭 article link

We finally have a European law on artificial intelligence. Always have the law at hand, for whatever may happen 👇🏼

If you weren't around for the early days of search engines, you may not be familiar with Ask Jeeves, but for a while there he was the one you went to for answers.

The site encouraged you to ask full-sentence questions, not just type in key words, and it looked like this:

It went the way of the dodo because Google won the search engine arms race, but Ask Jeeves left a mark on the internet. (The webcomic host SmackJeeves was named as a reference, for one.)

Thanks for all the search results, Jeeves.

my decision not to migrate to twitter when everyone said the porn ban was going to kill tumblr makes me now feel like one of those people that missed boarding the goddamn titanic

my air conditioner apparently has an app (?) and the fucked up thing is that they have these 'ai' options to generate.....recipes? so I took a photo of my fridge and this is what it um. came up with. why

why does my air conditioner do...this

Hackers (1995), dir. Iain Softley

gif set 2

Nora

3 Ways Your Clinical Trial Software Can Help You Attract and Retain KOLs

Key Opinion Leaders (KOLs) are critical to the success of any research study. The experience and credibility of your KOLs add legitimacy to a clinical trial while also helping to mitigate any potential risks. As such, attracting KOLs to your study, and keeping them engaged for future research studies, is an important element in driving long-term success. Working with our clients, we’ve identified that a driving factor in attracting and retaining KOLs is to improve the quality of life for trial KOLs. The better the experience your KOL has working on your trial, the more likely you are to retain that KOL for future studies. This blog post breaks down three ways a clinical trial oversight system can help you attract and retain KOLs.