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How to Make Coding Both Your Hobby and Profession with Jason Lengsdorf @ CityJS Conf 2024
Join us backstage at CityJS Conf for this conversation with Jason Lengsdorf. In this discussion, we explore strategies for reducing stress and anxiety among engineers, ensuring they maintain relevance in the dynamic world of coding. Jason emphasizes the importance of self-assurance and the role of play in fostering continual engagement with evolving technologies. Moreover, we get a sneak peek into Jason's latest venture, "Web Lunch," a platform where he converses with developers who have found harmony between their careers and personal satisfaction. Coding isn't just a job; it's a passion and a lifestyle. Jason highlights the significance of pursuing work that excites and challenges us, echoing the sentiment that coding can be both a career and a hobby. By infusing enjoyment and creativity into our coding endeavors, we can shape our professional trajectories in alignment with our values and interests. This approach not only minimizes regret but also maximizes happiness and fulfillment in our careers. Central to our discussion is the pivotal role of effective leadership in creating a supportive and encouraging work environment. Leaders who prioritize the well-being and happiness of their team members foster a culture of collaboration and empowerment. Through mentorship, guidance, and opportunities for growth, these leaders enable developers to align their personal goals with organizational objectives, leading to increased job satisfaction and professional fulfillment. Adaptability is key to sustained success in software engineering. Jason emphasizes the value of remaining open-minded and continuously learning, even when it means stepping out of our comfort zones. Embracing discomfort is an integral part of personal growth, allowing us to overcome obstacles and unlock our full potential. By nurturing a spirit of curiosity and adaptability, developers can navigate the complexities of their careers with resilience and enthusiasm....
Apr 25, 2024
2 mins
6 Steps to AI Adoption: Benefits of LLMs & SLMs with Jerome Hardaway and Rob Ocel
Rob Ocel and Jerome Hardaway continue their series on AI adoption by exploring the world of AI, focusing on small language models (SLMs) and large language models (LLMs). They compare the unique capabilities of SLMs against the vast knowledge encompassed by LLMs, and highlight the transformative potential of AI in driving creativity, problem-solving, and user-centric design in technology. SLMs are designed to excel at specific tasks, offering faster processing and cost-effectiveness due to their open-source nature. These models have proven to be invaluable in sectors like finance, where data security is of utmost importance. By leveraging SLMs, organizations can enhance their security measures and protect sensitive information. Moreover, SLMs provide a stepping stone for engineers to adapt to new technologies and incorporate AI into their work, ultimately improving user experiences. On the other hand, LLMs encompass a wide range of knowledge, making them incredibly versatile. These models have the potential to transform industries by providing insights, predictions, and solutions to complex problems. With advancements in AI chip technology by tech giants like Apple, Nvidia, Google, and Meta, LLMs are becoming even more powerful and efficient. Evaluating AI models based on factors like stability and industry support is crucial to harnessing the full potential of LLMs. The conversation also addresses some ethical questions related to AI implementation. While AI brings numerous benefits, concerns about job displacement cannot be ignored. As AI continues to evolve, it is essential to strike a balance between automation and human involvement. Engineers must focus on improving AI sophistication and seamless integration into user interactions, ensuring that AI enhances human capabilities rather than replacing them. Additionally, ethical guidelines and regulations must be established to address potential biases and ensure responsible AI implementation. Download this episode here....
Apr 23, 2024
2 mins