Updates and recent posts about GPT..

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@laura_garcia shared a post, 5 months ago

Software Developer, RELIANOID

𝘐𝘯 𝘤𝘢𝘴𝘦 𝘺𝘰𝘶 𝘮𝘪𝘴𝘴𝘦𝘥 𝘪𝘵: Europe’s skies disrupted

Cyberattack on Collins Aerospace’s MUSE platform We shared this analysis a few months ago, but given the relevance of the topic and the growing impact of cyberattacks on critical infrastructure, it’s definitely worth resurfacing. The incident forced major airports like Heathrow, Brussels, and Berlin..

News FAUN.dev() Team Trending

@kala shared an update, 5 months ago

FAUN.dev()

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests

#DeepSee... #AI mode... #Machine... #Mathema...

DeepSeekMath-V2, an AI model with 685 billion parameters, excels in mathematical reasoning and achieves top scores in major competitions, now available open source for research and commercial use.

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests

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@anjali shared a link, 5 months ago

Customer Marketing Manager, Last9

9 Monitoring Tools That Deliver AI-Native Anomaly Detection

A technical guide comparing nine observability platforms built to detect anomalies and support modern AI-driven workflows.

Activity

@kala added a new tool DeepSeekMath-V2 , 5 months ago.

News FAUN.dev() Team

@kala shared an update, 5 months ago

FAUN.dev()

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight

#LLMs #INTELLE... #Mixture... #PRIME-R... #Reinfor...

INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight

Activity

@kala added a new tool INTELLECT-3 , 5 months ago.

Activity

@devopslinks added a new tool Lustre , 5 months ago.

Course

@eon01 published a course, 5 months ago

Founder, FAUN.dev

Cloud Native CI/CD with GitLab

#Cloud N... #DevOps #GitLab ... #docker #kuberne...

From Commit to Production Ready

Course

@eon01 published a course, 5 months, 1 week ago

Founder, FAUN.dev

Observability with Prometheus and Grafana

#Grafana #metrics #monitor... #observa... #prometh...

A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems

Observability with Prometheus and Grafana

Course

@eon01 published a course, 5 months, 1 week ago

Founder, FAUN.dev

Cloud-Native Microservices With Kubernetes - 2nd Edition

#Cloud N... #Istio #docker #kuberne... #prometh...

A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes

Cloud-Native Microservices With Kubernetes - 2nd Edition

GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.