
Top Machine Learning Model Interpretation Tools
Being able to interpret the model allows developers to move from the question of ‘what did the model predict?’ to ‘how did the model predict this?’
Being able to interpret the model allows developers to move from the question of ‘what did the model predict?’ to ‘how did the model predict this?’
Reinforcement learning has several algorithms that take different approaches to give rewards to the machine.
40 Under 40 Data Scientists award recognises innovators and their achievements in the machine learning and analytics industry.
When building machine learning applications, developers often rely on either C++ or Python, from the plethora of choices available.
TensorFlow reaches far beyond Python and that is what is keeping it alive—for now.
We asked VCs how they balance the need for financial returns with initiating positive efforts for the environment and the need for climate adaptation tech.
Sanjay Srivastava, chief digital officer of Genpact, interacted with Analytics India Magazine and shared how their firm is enabling Fortune 500 companies across the globe with data analytics and AI.
Diffusion models became the paradigm for generative models in 2022. Unlike autoregressive models that require restricted connectivity patterns for ensuring causality, diffusion models are unconstrained and thus allow more creative freedom. But given the efficiency of current autoregressive models (example ChatGPT), is researching diffusion models in the language field even worth it?
ChatGPT is trained on the internet data and is bound to represent the same bias and inaccuracy that the internet is filled with.
Copycats, snake oil sellers, and doomsayers of AI are looking to make quick bucks by copying the real leaders, falsely claiming the use of AI, and downplaying the importance of the field and calling it fraudulent.
OpenAI has released ChatGPT as a service and product for everyone to use. But most of the ideas of generative models came out of Google Brain since 2011 and DeepMind in 2014. Same is the case with Facebook and FAIR since 2013.
The modern text-to-image art generators are based on principle of physics and the story is quite interesting.
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