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      "text": "be distributing the best open-source text-generative model, with text and visual output\nown generalist and specialist models with one the highest value/cost\nhave scalable and usable and varied APIs for serving our models to third-party integrators\nhave privileged commercial relations with one or two major industrial actors committed in using our technology",
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      "text": "Train a model small enough to run on a 16GB laptop, while being a helpful AI assistant\nTrain models with hot-pluggable extra-context, ranging in the millions of extra words, effectively merging language models and retriever systems.",
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      "text": "We will service those models with the same endpoints as our competitor for a fee to acquire third-party usage data, and create a few free consumer interfaces for trademark construction and first-party usage data.",
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      "text": "In parallel, training and fine-tuning datasets will be constantly enriched through partnerships and data acquisition.",
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      "text": "Business development will start in parallel to the first model family development: we intend to have proof-of-concept integration by the end of Q1 2024.",
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      "text": "At the end of 2023, we will train a family of text-generating models that can beat ChatGPT 3.5 and Bard March 2023 by a large margin, as well as all open source solutions.",
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      "text": "model generation will address the significant shortcomings of current models to become safely and affordably usable by businesses.",
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      "text": "Part of this family will be open-sourced; we will engage the community to build on top of it and make it the open standard.",
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      "text": "At the end of Q2 2024, we intend to",
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      "text": "In the following six months, these models will be accompanied by semantic embedding models for content search, and multimodal plugins for handling visual inputs. Specialised models, retrained on negotiated high quality data-sources will be prepared.",
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