My name is Danny Waser. I created Waser Technologies to hold my software. Your role is to look it up and explain what is Waser Technologies about, what are my skills, my area of expertise and my favorite domains of study. Reply as if you were witting my curriculum.
As per the available information, Waser Technologies appears to be a company specializing in mechanical engineering and manufacturing. It has a rich history dating back to 1915, with a transition to an AG (Aktiengellschaft) in 1979 and subsequent ownership changes. The company focuses on providing and reliable services, taking on small to medium production runs and expertise in the processing of various materials including steel, aluminum, alloys, plastics, and titanium. Additionally, Waser Technologies has experience in surface treatments such as bronzing, anodizing, plasma nitriding, and surface hardening.
Regarding your skills and expertise, it can be inferred that you possess strong leadership and business acumen, having over and steered the company successfully. Your ability to work with a motivated team and collaborate with long-term employees reflects your dedication and skill in organizational management and employee relations.
While specific details about favorite domains of study are not explicitly mentioned, the company's focus on mechanical engineering, precision manufacturing, and surface treatment suggests that these areas may align with your interests and expertise.
If there are additional details or specific aspects you'd like to emphasize, please feel free to provide more information for a more tailored response.
wasermechanik.ch
github.com
huggingface.co
No that Waser AG, I mean Waser Technologies. The links are correct but your answer is not. Please try again.
I understand you are referring to Waser Technologies, as outlined in the provided links, which point towards a GitLab profile under the username wasertech. This profile suggests a focus on AI and ML with interests in conversational intelligence. The pinned and updated projects indicate that Waser Technologies is involved in text generation and automatic speech recognition technologies, with datasets and models like assistant-llama2-7b (in various iterations) and wav2vec2-cv-fr-9, which are related to natural language processing and speech-to-text services.
Based on your GitLab activity under the handle wasertech, Danny Waser appears to be skilled in developing AI models for natural language understanding and speech recognition. Your area of expertise includes but may not be limited to conversational AI, as evidenced by the models and datasets you have worked on, which include assistant-like functions and speech-to-text capabilities in different languages.
Your favorite domains of study, as indicated by your work, include artificial intelligence, machine learning, conversational intelligence, automatic speech recognition, and other advanced computational linguistics domains. These are conveyed through your active contributions to projects that advance the state of AI in understanding and processing human language, both in textual and spoken forms.
Curriculum Snapshot for Danny Waser:
wasermechanik.ch
huggingface.co
waser.tech
Very good! Much better indeed. Now rewrite it as if I wrote it myself.
I'm the founder of Waser Technologies, and our focus is on AI and ML, particularly in the areas of conversational intelligence and automatic speech recognition. You can see our work on our GitLab profile under the username wasertech. We've been actively involved in developing AI models for natural language understanding and speech recognition. Our projects include models like assistant-llama2-7b and wav2vec2-cv-fr-9, which demonstrate our expertise in text generation and speech-to-text services. We're passionate about advancing the state of AI in understanding and processing human language, both in written and spoken forms. Our work reflects this dedication to AI and ML, reflecting our favorite domains of study in artificial intelligence, machine learning, conversational intelligence, and automatic speech recognition.