{"id":14070,"date":"2025-03-10T14:30:03","date_gmt":"2025-03-10T13:30:03","guid":{"rendered":"https:\/\/www.panter.ch\/?p=14070"},"modified":"2025-05-27T10:52:06","modified_gmt":"2025-05-27T08:52:06","slug":"ai-assistants-wolfpak","status":"publish","type":"post","link":"https:\/\/www.panter.ch\/en\/stories\/ai-assistants-wolfpak\/","title":{"rendered":"Creating added value with AI assistants – advantages and use cases"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”40px” top_padding_phone=”12vw” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”20px” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css_animation=”fadeInUp” css=”” text_direction=”default” max_width=”800″]\n

From translations to software development – AI is taking over more and more standard tasks in the office.<\/h2>\n[\/vc_column_text][vc_column_text css_animation=”fadeInUp” css=”” text_direction=”default”]\n

However, as soon as a task becomes more complex, conventional tools reach their limits. AI assistants are different: they are specifically programmed to use internal databases to automate tasks and offer employees personalized support. From data analysis to knowledge transfer and individual coaching. <\/h3>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”40px” top_padding_phone=”12vw” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”10px” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

How does an AI assistant work?<\/h2>\n[\/vc_column_text][nectar_highlighted_text color_type=”regular” text_color=”#000000″ style=”full_text” highlight_expansion=”default” text_direction=”default”]AI assistants provide employees with targeted support for clearly defined tasks. They use large language models (LLM)<\/em> such as ChatGPT and natural language processing<\/em>. On the one hand, they are able to understand all user commands and formulate suitable, easy-to-understand answers. On the other hand, they can easily process large amounts of data, understand correlations and recognize patterns.[\/nectar_highlighted_text][nectar_highlighted_text color_type=”regular” style=”full_text” highlight_expansion=”default” text_direction=”default”]This is crucial, as an AI assistant relies on extensive internal databases<\/em> to fulfill its function optimally. The following applies:[\/nectar_highlighted_text][nectar_gradient_text heading_tag=”h3″ color=”extra-color-gradient-1″ gradient_direction=”horizontal” text=”The more content is available and the more carefully this content is categorized, the better.” margin_top=”48″ margin_bottom=”48″][nectar_highlighted_text color_type=”regular” style=”full_text” highlight_expansion=”default” text_direction=”default”]Thanks to machine learning and self-learning algorithms, the system can also continue to develop and improve<\/em>. This means that with each interaction, an AI assistant adapts its answers more precisely to the individual needs, working methods and preferences of each user and therefore performs its task better and better.[\/nectar_highlighted_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”40px” top_padding_phone=”12vw” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”10px” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

Rapid development thanks to Panter RAG framework
\n<\/h2>\n[\/vc_column_text][vc_column_text css=”” text_direction=”default”]Large LLMs can be used specifically for your own company without having to train your own model.<\/p>\n

\ud83d\udd11 The key lies in linking pre-trained language models with a company’s own knowledge base.[\/vc_column_text][divider line_type=”No Line” custom_height=”0″][vc_column_text css=”” text_direction=”default”]\n

What is RAG?
\n<\/h3>\n[\/vc_column_text][vc_column_text css=”” text_direction=”default”]This is where the Retrieval Augmented Generation Framework (RAG) comes into play. With the framework developed by Panter, the LLM no longer only obtains its information from the existing training data, but supplements it with predefined knowledge sources, such as an internal database or an API. Similar to a search engine such as Perplexity, this enables it to find and display the information relevant to a query in a targeted manner. [\/vc_column_text][image_with_animation image_url=”14633″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default”][divider line_type=”No Line” custom_height=”0″][vc_column_text css=”” text_direction=”default”]\n

Why is that valuable?
\n<\/h3>\n[\/vc_column_text][vc_column_text css=”” text_direction=”default”]Setting up and constantly updating the databases usually involves a lot of effort. But the advantages are enormous: <\/p>\n