Artificial Inteligence ChatGPT Journal Machine Learning 
O'Reilly Media - Ideas
MARCH 26, 2024
Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. I have been able to convince ChatGPT to give me large chunks of novels that are in the public domain , such as those on Project Gutenberg, including Pride and Prejudice.
CIO
AUGUST 19, 2024
Using SLMs in conjunction with methods such as finetuning and retrieval augmented generation (RAG) to refine outputs using corporate data, companies are beginning to automate document retrieval and analyze customer service data to keep up with consumer habits, according to The Wall Street Journal. And the use cases continue to stack up.
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CIO
MAY 1, 2024
La CNN ha citato un esempio, conservato dalla Wayback Machine dell’Internet Archive [in inglese] , che si apriva con: “Il Worthington Christian [[WINNING_TEAM_MASCOT]] ha sconfitto il Westerville North [[LOSING_TEAM_MASCOT]] 2-1 in una partita di calcio maschile che si è giocata sabato in Ohio”.
AWS Machine Learning - AI
DECEMBER 12, 2023
Large language models (or LLMs) have become a topic of daily conversations. Their quick adoption is evident by the amount of time required to reach a 100 million users, which has gone from “4.5yrs by facebook” to an all-time low of mere “2 months by ChatGPT.” We’ll outline how we cost-effectively (3.2
Perficient
JANUARY 25, 2024
Many of you may be proficient in using these tools, but have you thought about what happens behind those engaging chat interfaces with artificial intelligences? Statistics played a pivotal role in the initial approaches to solving artificial intelligence problems.
O'Reilly Media - Ideas
JUNE 18, 2024
Journalism professor Jeff Jarvis put it well in a response to an earlier draft of this piece: “It is in the public good to have AI produce quality and credible (if “hallucinations” can be overcome) output. The generative LLM writes responses with grounding in these vector search result snippets.
Altexsoft
NOVEMBER 1, 2023
This is a collection of texts used for linguistic analysis and training NER models. A corpus can range from a set of news articles to academic journals or even social media posts. Word embeddings translate words or phrases into numerical vectors of fixed size, making it easier for machine learning models to process.
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