{"id":4668,"date":"2023-11-21T10:39:46","date_gmt":"2023-11-21T10:39:46","guid":{"rendered":"https:\/\/codiax.co\/?page_id=4668"},"modified":"2024-03-14T12:51:19","modified_gmt":"2024-03-14T12:51:19","slug":"workshops","status":"publish","type":"page","link":"https:\/\/codiax.co\/workshops\/","title":{"rendered":"Workshops"},"content":{"rendered":"[vc_row type=”full_width_content” full_screen_row_position=”middle” bg_image=”4392″ bg_position=”center center” bg_repeat=”no-repeat” bg_color=”#2e2e2e” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”padding-15-percent” column_padding_position=”left” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”center” phone_text_alignment=”center” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text el_class=”landingTexts” css=”.vc_custom_1710420670685{padding-top: 150px !important;}”]\n

2023 Technical Workshops<\/p>\n[\/vc_column_text][divider line_type=”No Line” custom_height=”20″][divider line_type=”No Line” custom_height=”40″][divider line_type=”No Line” custom_height=”12″][divider line_type=”No Line” custom_height=”12″][divider line_type=”No Line” custom_height=”12″][\/vc_column][\/vc_row][vc_row type=”full_width_background” full_screen_row_position=”middle” bg_color=”#ffffff” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”padding-5-percent” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/2″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][divider line_type=”No Line”][image_with_animation image_url=”4670″ alignment=”” animation=”Fade In” border_radius=”none” box_shadow=”none” max_width=”100%”][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/2″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][divider line_type=”No Line”][vc_column_text]\n

Universal Fine-Tuning of ChatGPT through OpenAI’s Evals Framework: A Geo-Task Case Study<\/span><\/p>\n[\/vc_column_text][divider line_type=”No Line”][vc_column_text]\n

\"\"<\/p>\n

Discover how OpenAI’s “evals” framework enables targeted fine-tuning of ChatGPT across diverse domains. Using geospatial tasks such as automated map change as an example, this workshop will equip you with the skills to align ChatGPT for superior performance in any specialized task.<\/p>\n

Hosts: Hannes Kruppa & Adrian Margin<\/p>\n[\/vc_column_text][divider line_type=”No Line”][divider line_type=”No Line”][\/vc_column][\/vc_row][vc_row type=”full_width_background” full_screen_row_position=”middle” bg_color=”#000018″ scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/2″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][divider line_type=”No Line”][vc_column_text]\n

Function Calling Strategies: Conversations with Your Live Data<\/span><\/p>\n[\/vc_column_text][divider line_type=”No Line”][vc_column_text]\n

\"\"This workshop delves into leveraging Function Calling\u2014a powerful feature of OpenAI models such as GPT-4 and GPT-3.5 Turbo\u2014to facilitate natural conversations with our data. Participants will explore the immense potential of connecting GPT models with live data by programmatically interacting with them, gaining insights into triggering custom operations on our end. Throughout the session, attendees will understand how to integrate OpenAI models into data workflows and obtain data-driven insights. We will imagine a data store and show how we can obtain complex information by asking for it in plain English.<\/p>\n

Host: Adrian Caliman<\/p>\n[\/vc_column_text][divider line_type=”No Line”][divider line_type=”No Line”][\/vc_column][vc_column column_padding=”padding-5-percent” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/2″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][divider line_type=”No Line”][image_with_animation image_url=”4720″ alignment=”” animation=”Fade In” border_radius=”none” box_shadow=”none” max_width=”100%”][\/vc_column][\/vc_row][vc_row type=”full_width_background” full_screen_row_position=”middle” bg_color=”#ffffff” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”padding-5-percent” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/2″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][divider line_type=”No Line”][image_with_animation image_url=”4721″ alignment=”” animation=”Fade In” border_radius=”none” box_shadow=”none” max_width=”100%”][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/2″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][divider line_type=”No Line”][vc_column_text]\n

Rapid Embedded Prototyping with Machine Learning
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A technical presentation from Dyson\u2019s New Product Innovation Software Team (NST) on tools and practices involved in developing high-tech prototypes using cutting-edge embedded systems technology, with a \u2018hands on\u2019 example application using Machine Learning.<\/p>\n

Knowledge:<\/strong><\/p>\n