The world of science and technology continues to be shaped by the ever-increasing capabilities of artificial intelligence (AI) technologies, such as large language models (LLM). These revolutionary tools are fundamentally changing the way we process and present information. LAUNCH LLM Impact Program is preparing to support entrepreneurs who strengthen scientific applications and societal trust by promoting the ethical and responsible use of AI while exploring these powerful aspects.
The Intersection of Creativity and Innovation: LLMs
LLMs possess extraordinary abilities in language processing and understanding. These models can perform complex tasks such as text generation, translation, summarization, and even sentiment analysis by learning from large datasets. LAUNCH LLM Impact Program aims to leverage the potential of these technologies to make new scientific discoveries and push the boundaries of technology.
Science and technology are fields that continuously evolve and reshape with every new invention. By contributing to this evolution, LLMs can automate processes such as the preparation of scientific texts, data analysis, and even hypothesis testing.
In particular, LLMs can offer new perspectives on generating information about rare or understudied phenomena, which is one of the challenges faced by scientists. Here are three examples that will provide a different perspective on LLMs:
Gene Editing with CRISPR and LLMs
Profluent is an AI initiative positioned at the intersection of some of the most exciting concepts in the biopharma sector. The company aims to expand the impact of CRISPR gene editing tools in developing new therapies using LLMs. Profluent's OpenCRISPR initiative aims to provide AI-designed, nature-inspired, yet previously unseen, customizable gene-editing proteins. These programs are trained on large protein sequence databases and possess the capability to produce RNA molecules that can perform modifications in hundreds of thousands of CRISPR-like proteins and the human genome. Profluent offers these products as open-source to promote innovation and democratization in the field of gene editing. This aims to rapidly advance CRISPR technology and accelerate the development of new genetic therapies for thousands of diseases for which there is currently no cure.
2. Crystal Design with LLMs
Researchers from Princeton University have developed an AI tool capable of predicting the behaviors of crystal materials, which are a critical step in the development of advanced technologies such as batteries and semiconductor technologies. This new method uses LLMs to synthesize information from text descriptions, including details such as bond lengths and angles between atoms, to predict the properties of new materials more accurately and comprehensively than existing simulations. This method has the potential to speed up the design and testing processes of materials. The team at Princeton trained this tool using a text database containing over 140,000 crystal definitions, and this tool successfully predicted the properties of various crystal structures, from table salt to silicon. Now, this tool is being developed to be used in the design of new crystal materials. This new method represents a milestone that will contribute to accelerating materials discovery across a wide range of applications.
3. Quantum Computing: Innovative Solutions for Large-Scale AI Models
Research is gaining momentum regarding the potential solutions that quantum computing can offer for large-scale AI models. The training and fine-tuning processes of LLMs are bottlenecked by high computational costs, power consumption, and time. Quantum computers can provide efficient solutions for stochastic gradient descent algorithms by using fault-tolerant quantum algorithms. The new method designed by researchers from the UK makes the model scalable, depending on model size and the number of iterations when the models have sufficiently slow learning rates and sparsity. Quantum algorithms can offer significant speedups in large-scale AI problems compared to classical algorithms, thus having the potential to shape the future applications of AI.
Stochastic Gradient Descent Algorithms: Stochastic gradient descent is a very popular algorithm used in various machine learning algorithms and forms the basis of neural networks. Gradient refers to the slope of a surface, and gradient descent is used to describe an iterative algorithm that starts from a random point on a function and steps down the slope until it reaches the lowest point of that function.
📅 Let's Shape the Future Together!
The Vision of the LAUNCH LLM Impact Program
The LAUNCH LLM Impact Program not only provides training and mentorship for selected startups but also offers access to investment opportunities and the possibility of establishing strategic partnerships. The program's Demo Day event will take place on October 31, marking its 7th occurrence at the Turkey Artificial Intelligence Summit, where the innovative solutions of Gen AI startups will be showcased in the Turkey AI Ecosystem.
If you want to push the boundaries of artificial intelligence and large language models and create new solutions in the fields of science and technology, join the LAUNCH LLM Impact Program and be a part of this innovative journey! The deadline for applications is June 17.
