A 1966 report gutted funding for rule-based machine translation, and the story goes that it died. It did not: a free platform runs 51 stable language pairs that way today. Knowing when a rule beats a model — and how to tell which one you are facing — is a skill no product release makes obsolete.
Weak versus strong AI does not separate rules from machine learning. A five-axis framework for evaluating capabilities without inflating labels.
Stability AI has introduced StableLM, an open family of language models starting with 3 billion and 7 billion parameter versions. The move brings to text the strategy it popularized with Stable Diffusion.
A guide to how a neural network turns inputs into predictions, computes loss, backpropagates gradients and demonstrates whether it generalises.
OpenAI lets developers integrate ChatGPT into applications through gpt-3.5-turbo and offers Whisper as a transcription service. The pricing sharply lowers the barrier to adding conversation and voice to third-party products.
NLP is not one capability: it combines linguistic units, data, models, metrics, and operations. A guide to evaluating the complete system.
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