Conducting a structured discovery phase consisting of a coordinated work session with the customer, the deliverable summarizes our understanding, and our findings, and explains intersection with industry taxonomy. Create a list of the best “quick win” approaches (proof of concept)
We use accelerators (pre-trained models) ready to be deployed in many fields of GenAI (computer vision, image analysis, forecast, classification, and optimization algorithms or NLP models) to be used into the proof of concepts projects.
Having access to a large pool of people in LATAM to provide required skills. We integrate those skills to the customer team or create a new one if it do not exist.
Mistral AI has recently made significant strides in artificial intelligence by introducing its first multimodal model, Pixtral 12B, which can process text and images.
Embedding models are an important tool within the modern enterprise AI toolkit. You can think of these models as the engine of intelligent search applications, helping employees and customers quickly locate specific information within massive libraries of data.
The need arise from the need to streamline the analysis of exams performed on patients who may present detectable pathologies through imaging studies, assisting the physician in making a faster and more accurate diagnosis.
Researchers at Sakana.AI, a Tokyo-based company, have worked on developing a large language model (LLM) designed specifically for scientific research.
Competing against ChatGPT Enterprise by OpenAI, now Anthropic released its own Claude for Enterprise.
Cerebras Systems, known for its innovative Wafer Scale Engine (WSE), has received a mix of feedback regarding its processors, particularly compared to traditional GPUs like those from Nvidia.
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