Marktechpost

MAY 1, 2024

Free LLM Playgrounds and Their Comparative Analysis As the landscape of AI technology advances, the proliferation of free platforms to test large language models (LLMs) online has greatly increased. Its extensive offerings support a broad spectrum of AI research and development activities. Image Source 3.

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Topbots

APRIL 29, 2024

Simple next-token generation, the foundational technique of large language models (LLMs), is usually insufficient for tackling complex reasoning tasks. To address this limitation, various research teams have explored innovative methodologies aimed at enhancing the reasoning capabilities of LLMs.

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ODSC - Open Data Science

FEBRUARY 14, 2023

It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI.

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Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. However, the recent surge in generative AI has made it the new hot topic. sales volume) and binary variables (e.g.,

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NVIDIA

AUGUST 10, 2023

“AI Village draws the community concerned about the implications of AI systems – both malicious use and impact on society,” said Sven Cattell founder of AI Village and co-organizer of the Generative Red Team Challenge. “At This marked the first time a company had allowed public access to their model for scrutiny.”

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DECEMBER 19, 2023

The NeurIPS 2023 conference, held in the vibrant city of New Orleans from December 10th to 16th, had a particular emphasis on generative AI and large language models (LLMs). One of the core themes of this year’s conference was the quest for more efficient AI systems. Sign up for more AI research updates.

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Computer Vision Natural Language Processing AI Researcher AI Research 52

Flipboard

FEBRUARY 13, 2023

Back in December, Neeva co-founder and CEO Sridhar Ramaswamy , who previously spearheaded Google’s advertising tech business , teased new “cutting edge AI” and large language models (LLMs), positioning itself against the ChatGPT hype train. market, pitched as “authentic, real-time AI search.”

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Topbots

JUNE 6, 2023

There are three principal dimensions along which LLMs can become more efficient: Less compute and memory : for example, FlashAttention [4] allows to reduce number of reads and writes on GPU as compared to standard attention algorithms, thus leading to faster and memory-efficient fine-tuning. Scaling Laws for Neural Language Models. [7]

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Topbots

JUNE 29, 2023

This vision is embraced by conversational interfaces which allow humans to interact with data using language, our most intuitive and universal channel of communication. After parsing a question, an algorithm encodes it into a structured logical form in the query language of choice, such as SQL. in the data.

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Topbots

JUNE 15, 2023

Large language models such as ChatGPT process and generate text sequences by first splitting the text into smaller units called tokens. Over a hundred years ago, telegraphy, a revolutionary technology of its time (“the internet of its era”), faced language inequities similar to those we see in today’s large language models.

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Topbots

SEPTEMBER 11, 2023

Often, companies assume that all they need to include AI in their offering is to hire AI experts and let them play the technical magic. Over the years, I have seen a great deal of frustration from data scientists and engineers whose technically outstanding AI implementations did not find their way into user-facing products.

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