
Sure, anyone can use OpenAI’s chatbot. But with smart engineering, you can get way more interesting results.
Prompt engineering is a specialized skill that involves using specific wording and instructions to get more interesting and useful results from AI chatbots like ChatGPT. While anyone can use these tools to compose text, write code, or automate tasks, adding extra words or lines of instruction can produce responses that are more relevant and tailored to what a user is looking for. Techniques include asking the chatbot to adopt different perspectives, using photos as part of prompts, applying the 80-20 rule to learn topics efficiently, and personalizing the chatbot's understanding of who the user is.

The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers.

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces aren't clearly visible, using "additional non-biometric signals (body size, clothing color, etc.)." The Familiar Faces library will also begin aut

In this tutorial, we build a speech recognition and translation workflow using NVIDIA Canary-1B-v2. We begin by setting up the required audio, NeMo, NumPy, and SciPy dependencies, then load the Canary model on a GPU-enabled runtime for efficient inference. From there, we prepare audio into a clean 16 kHz mono format, perform English ASR, translate speech into multiple languages, generate word and segment timestamps, export translated subtitles as an SRT file, test long-form transcription, run b
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