{"id":19779,"date":"2023-08-29T22:42:56","date_gmt":"2023-08-29T20:42:56","guid":{"rendered":"https:\/\/www.bluenove.com\/?p=19779"},"modified":"2023-08-30T23:29:50","modified_gmt":"2023-08-30T21:29:50","slug":"chatgpt-and-collective-intelligence","status":"publish","type":"post","link":"https:\/\/www.bluenove.com\/en\/blog\/chatgpt-and-collective-intelligence\/","title":{"rendered":"ChatGPT at Bluenove: A 6-Month Odyssey that’s Shaping the Future of Collective Intelligence"},"content":{"rendered":"

As a long-standing player in collective intelligence, we saw the wave of generative AI as one to be ridden rather than endured. That’s why, over the past few months, we’ve been experimenting with several new uses enabled by these AIs.\u00a0\u00a0<\/span><\/p>\n

We are looking at this exciting period with this conversation between\u00a0<\/span>Maxime Barbier\u00a0<\/span><\/strong>(Associate Director, Chief Revenue Officer) and\u00a0<\/span>Kristy Anamoutou\u00a0<\/span><\/strong>(Associate Director, Product and Technical Operations).\u00a0<\/span><\/p>\n

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Maxime (M) <\/span><\/strong>– Hi Kristy. The massive arrival of generative AI over the last few months has uprooted every organization. At bluenove, we’ve taken the subject seriously and see it <\/span>as a field of opportunities\u00a0<\/span><\/strong>rather than an insurmountable constraint. Thank you for taking the time to share with the community and all those interested in these AI topics the lessons you’ve learned from experimenting with AI at bluenove over the last six months. <\/span><\/p>\n

So,\u00a0<\/span>is generative AI changing how our teams design and develop our collective intelligence solutions and shape the promise of our products?\u00a0<\/span><\/strong><\/h5>\n

Kristy (K) <\/span><\/strong>–\u00a0<\/span>The answer is yes! Generative artificial intelligence profoundly changes our approach to software design and analysis capabilities<\/span><\/strong>. Today, for example, it’s no longer a question of simply offering an enriched text editor (i.e., RTE). We have entered the\u00a0<\/span>era of intelligent word processing.<\/span><\/strong>\u00a0This new approach suggests improvements and iterations of the original text to our users, whether in form or content. It’s an actual<\/span>\u00a0invitation to augmented usage<\/span><\/strong>. Collective intelligence platforms, whether for gathering ideas, opinions, or conversations, have a mission to assist their users. Their aim?\u00a0<\/span>To improve the quality of their ideas and exchanges so that they have a more substantial, more relevant impact.\u00a0<\/span><\/strong><\/p>\n

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M <\/span><\/strong>– And more specifically, on the impact of ChatGPT. How did you perceive it at bluenove? Simple evolution or real revolution?\u00a0<\/span><\/h5>\n

K <\/span><\/strong>–\u00a0<\/span>ChatGPT has been a real revolution<\/span><\/strong>. Its rapid adoption by the general public is mainly due to its instant messaging interface, which most of us have already mastered, whether through our usual messaging applications or chatbots. It’s a fine example of how,\u00a0<\/span>sometimes, the most striking innovations rely on familiar tools<\/span><\/strong>. The saying goes, “The\u00a0<\/em><\/span>best jams are made in old pots<\/em>.”\u00a0<\/span>At bluenove, we quickly realized the importance of building on the successes of other applications<\/span><\/strong>, and ChatGPT is a perfect example.\u00a0<\/span><\/p>\n

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Illustration made with Midjourney<\/figcaption><\/figure>\n

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M <\/span><\/strong>– What about\u00a0<\/span>free access\u00a0<\/span><\/strong>to certain services? How has this influenced bluenove’s approach?\u00a0<\/span><\/h5>\n

K <\/span><\/strong>–\u00a0<\/span>The free access was a real boon<\/span><\/strong>. By offering free access to ChatGPT<\/a> 3.5 in exchange for creating an account and using the data to train the model, OpenAI<\/a> was able to benefit from pervasive user testing.\u00a0<\/span>This strategy enabled them to gather valuable feedback and build a solid community of expert users<\/span><\/strong>. The latter, in turn, have had privileged access to high-quality artificial intelligence, while others, by registering on waiting lists, have benefited from previews of new features (GPT4, APIs, Plug-ins), creating a dynamic of exchange and innovation around their products. This approach inspires us by emphasizing modern ways to manage user communities,\u00a0<\/span>combining free access with exclusive access to new features via the waiting list system<\/span><\/strong>.\u00a0<\/span><\/p>\n

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M <\/span><\/strong>– What were the main\u00a0<\/span>technical challenges\u00a0<\/span><\/strong>encountered by integrating IAG?\u00a0<\/span><\/h5>\n

K <\/span><\/strong>–\u00a0<\/span>Integrating APIs and LLMs has been a real challenge<\/span><\/strong>. The results have been auspicious. However, we have encountered difficulties accessing servers, particularly those in the US. For example, as soon as the day started on the East Coast of the US, we experienced service interruptions in the middle of our working day in France. In addition, tokens’ limitations on European services slowed down our testing. All this has taught us <\/span>to adjust our overall roadmap<\/span><\/strong>, incorporating this time of uncertainty and experimentation.\u00a0\u00a0<\/span><\/p>\n

We’ve undertaken a\u00a0<\/span><\/strong>whole\u00a0<\/span>R&D phase to learn how best to work with these technologies<\/span><\/strong>\u00a0until a more local service, like the Bloom<\/a> LLM project, becomes available.\u00a0<\/span><\/p>\n

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illustration made with Midjourney<\/figcaption><\/figure>\n

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M <\/span><\/strong>– How do you manage the\u00a0<\/span>growing demand for specialist skills related to IAG<\/span><\/strong>?\u00a0<\/span><\/h5>\n

K <\/span><\/strong>–\u00a0<\/span>This is a significant challenge for us<\/span><\/strong>. Since integrating algorithms into our platform, the demand for specialized profiles such as data scientists, data analysts, and prompt engineers has grown steadily. These talents are rare. But beyond recruiting for a company of our size, we firmly believe in upgrading the skills of our in-house teams (developers, consultants, designers):\u00a0\u00a0<\/span><\/p>\n

\u00b7 We\u00a0<\/span>provide\u00a0<\/span><\/strong>them\u00a0<\/span>with the necessary tools, such as access and credit<\/span><\/strong>, so that they can test and experiment with the integration of AIG into our products.\u00a0\u00a0<\/span><\/p>\n

\u00b7 We regularly organize\u00a0<\/span>in-house\u00a0<\/span><\/strong>“\u00e9cole 43”\u00a0<\/span>training courses\u00a0<\/span><\/strong>dedicated to chatgpt and IAGs, and\u00a0<\/span>technical and product reviews\u00a0<\/span><\/strong>to discuss opportunities and limitations,\u00a0\u00a0<\/span><\/p>\n

\u00b7 and we share our discoveries and surprises internally through\u00a0<\/span>NLP\/AI design cells<\/span><\/strong>\u00a0because we systematically take a step back and think critically about the impact of this technology.\u00a0<\/span><\/p>\n

Maintaining a clear, critical vision is essential, especially in a field where new products appear every week.\u00a0\u00a0<\/span><\/p>\n

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M <\/span><\/strong>–\u00a0<\/span>Ethics is a hot topic around generative AI<\/span><\/strong>. How is it taken into account by the tech and product teams?\u00a0<\/span><\/h5>\n

K <\/span><\/strong>– The arrival of generative AI has been a real catalyst for us, encouraging us to <\/span>put ethics back at the heart of our technical and product decisions<\/span><\/strong>. <\/span>We regularly ask ourselves:\u00a0<\/span><\/p>\n

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