A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.
Updates and recent posts about GPT.. Activity
@kala added a new tool DeepSeekMath-V2 , 1 week ago.
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Observability with Prometheus and Grafana
A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems
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Cloud-Native Microservices With Kubernetes - 2nd Edition
A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
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Instrument Jenkins With OpenTelemetry
Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.
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.
