[et_pb_section fb_built=”1″ _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/branding-science.com\/wp-content\/uploads\/2023\/11\/Gabe-Musker-Chat-GPT_blog-1.png” alt=”ChatGPT insights” title_text=”Gabe Musker Chat GPT_blog (1)” align=”center” _builder_version=”4.23.1″ _module_preset=”default” border_radii=”on|20px|20px|20px|20px” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.23.1″ _module_preset=”default” text_font=”|300|||||||” global_colors_info=”{}”]<\/p>\n
Our Data Scientist, Gabe Musker, has shared his views on ChatGPT and generative AI.<\/span>\u00a0<\/span><\/p>\n Gabe\u2019s aim was to \u2018look under the hood\u2019 of generative AI tools such as ChatGPT, and provide our team, in non-technical language, an understanding of how machines learn, from the most basic algorithms all the way up to the cutting edge.\u00a0<\/span>\u00a0<\/span><\/p>\n Our goal was to reduce the fear around conversations about AI, and give our team the tools they need to make informed decisions about safe and practical uses of modern AI.<\/span>\u00a0<\/span><\/p>\n So, what were some of our key takeaways? Read on to find out!<\/span>\u00a0<\/span><\/p>\n Pick the right AI for the job<\/span><\/b>\u00a0<\/span><\/p>\n AI tools can be extremely complex and clever, but at their core, they are just mathematical equations, designed to optimise one thing. The AI behind ChatGPT would be terrible at playing chess, or driving a Tesla, whereas others would excel at these. At its core, something like ChatGPT is just basically a really clever parrot \u2013 it can give convincing-sounding answers to text prompts, but that\u2019s all it\u2019s good for.<\/span>\u00a0<\/span><\/p>\n Does machine learning equal AI?<\/span><\/b>\u00a0<\/span><\/p>\n Most tools that use machine learning \u2013 a trial-and-error approach to optimisation, focused on learning a pattern via repeated exposure to a particular data set \u2013 can be called AI. However, the reverse is not necessarily true \u2013 tools like Deep Blue, the chess-playing algorithm that beat Gary Kasparov, did not use machine learning techniques, but is indisputably AI.\u00a0<\/span>\u00a0<\/span><\/p>\n Don\u2019t miss out on the easy wins<\/span><\/b>\u00a0<\/span><\/p>\n The over-focus on extremely complex, computation-heavy (and hence expensive) machine learning tools is causing businesses to miss out on the easy wins that simple AI tools could provide. At Branding Science, our focus is on creating minimal viable models, built and optimised rapidly, that can bring the most insight to our clients at the lowest cost and in the shortest amount of time.<\/span>\u00a0<\/span><\/p>\n Don\u2019t get left behind<\/span><\/b>\u00a0<\/span><\/p>\n Understanding and harnessing data science methods, including AI & ML techniques, is no longer optional for us, our clients, or the market research industry. It will not be long before these techniques are the preferred way of understanding a market, customer segment, or business opportunity, and anyone who isn\u2019t up to speed will be left behind, making worse decisions based on less insight than their competitors.<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Our Data Scientist, Gabe Musker, has shared his views on ChatGPT and generative AI.\u00a0 Gabe\u2019s aim was to \u2018look under the hood\u2019 of generative AI tools such as ChatGPT, and provide our team, in non-technical language, an understanding of how machines learn, from the most basic algorithms all the way up to the cutting edge.\u00a0\u00a0 […]<\/p>\n","protected":false},"author":1,"featured_media":358,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":" Here at Branding Science we have been fortunate to assist numerous companies in conducting advisory boards, fostering many insightful discussions with a range of healthcare professionals.<\/p> However, these conversations aren\u2019t always a breeze! That\u2019s why we\u2019ve distilled some of our key strategies to ease tension and promote fruitful discussions during ad boards.<\/p> In our latest article, we\u2019ve shared our top seven tips to bear in mind if you want to conduct a successful ad board.<\/p>