Blender, Facebook State-of-the-Art Human-Like Chatbot, Now Open Source

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This item in japanese. Apr 30, 2 min read. Sergio De Simone. According to FAIR , it is the first chatbot that has learned to blend several conversation skills , including the ability to show empathy and discuss nearly any topic, beating Google’s chatbot in tests with human evaluators. Some of the best current systems have made progress by training high-capacity neural models with millions or billions of parameters using huge text corpora sourced from the web.

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Your Store. Browse Browse. Community Hub. Blender is the free and open source 3D creation suite. Free to use for everyone, for any purpose.

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For years, AI researchers have been working on building an artificial intelligence system that can converse as well as humans. Facebook has now introduced a lifelike chatbot, named Blender that outperforms other bots in terms of engagement, and also feels more human-like in its conversations. Blender is an open-source resource for AI research.

The social media giant claims that blender is the largest-ever open-domain chatbot.

Facebook releases an opensource humanlike chatbot called Blender. With the advent of Facebook’s Updated Date: April 30, IST. TAGS.

Facebook has been pouring money and resources into its Natural Language Processing technologies for a few years now and those efforts appear to have paid off. The company claims that Blender is the single largest open-source chatbot created to date. When you start to get that large, these things no longer are able to fit on a single GPU anymore. Instead, the team had to devise a means of siloing various aspects of the neural network being trained and working them in parallel across a number of devices while maintaining the overall efficiency of the networks as a whole.

However, size is only important up to a point. What seems to be really important is that you scale these things at least until a certain point, but then it becomes supercritical to imbue these things with specialized skills and behaviors [to further refine its performance]. Our evaluation setup showed that models that were fine-tuned on these nice conversational skill datasets are more engaging and consider more human, more lifelike than models which were not.

This means that Blender is emotionally smart enough to know to congratulate you if you tell it you just got a promotion at work and offer condolences when you reveal that your dog just died. FAIR has also taught it to give more than rote cursory responses when asked about a particular subject. So far, people who have interacted with Blender seem to prefer it to other open-source models.

During a recent test between it and Meena using the ACUTE-Eval method , 67 percent of respondents found Blender to sound more human, and 75 percent would rather engage with Blender than with Meena for longer conversations. Buyer’s Guide. Log in. Sign up.

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To establish the Blender to Renderman pipeline as a viable computer animation option for individuals, students, small studios, universities and the curious alike without having to invest thousands of dollars into software alone. Our goal also is to prove to the professional industry that this software is capable of handling large scale productions and that with enough training can be used for any task, commercial or film. Our goal also is not to replace current studio pipelines, an investment like that cannot be replaced with this open source alternative.

Instead the goal is to prove that with minor hardware investments, this can be inserted into an existing animation pipeline with little effort and a bit of networking skills. This is a wiki site devoted to the development, research and promotion of the various Blender to RenderMan projects in the works. It is intended as a collection of links, tutorials or descriptions of how to work with Blender and RenderMan tools.

The history of RenderMan is long, starting back in the early ‘s as a division of LucasArts, which developed into Pixar.

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