My Courses
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Fine-Tuning Pre-Trained Multitask LLMs: A Comprehensive Guide
LLMs are finely tuned to deliver optimal results across diverse tasks.
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Nvidia Neva 22B vs Microsoft kosmos-2: A Battle of Multimodal LLMs
Explore the capabilities of Nvidia’s Neva 22B and Microsoft’s Kosmos-2 multimodal LLM in event reporting, visual question answering, and more.
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How Much Energy Do LLMs Consume? Unveiling the Power Behind AI
Exploring the energy consumption of LLMs at different stages of applications
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In-context learning vs RAG in LLMs: A Comprehensive Analysis
RAG and ICL have emerged as techniques to enhance the capabilities of LLMs
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Can MultiModal LLMs be a key to AGI?
By integrating textual, visual, and other modalities, MultiModal LLMs pave the way for human-like intelligence.
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A Hands-on Guide to llama-agents: Building AI Agents as Microservices
Discover the power of llama-agents: a comprehensive framework for creating, iterating, and deploying efficient multi-agent AI systems.
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Why “One-Size-Fits-All” Solutions in Generative AI Training Fail and The Need for Customized Corporate Programs
Discover why generic Generative AI training programs fail to meet diverse organizational needs and how ADaSci’s tailored solutions can drive innovation and business success.
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StreamSpeech Deep Dive For Speech-to-Speech Translation
StreamSpeech pioneers real-time speech-to-speech translation, leveraging multi-task learning to enhance speed and accuracy significantly.
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RAVEN for Enhancing Vision-Language Models with Multitask Retrieval-Augmented Learning
RAVEN enhances vision-language models using multitask retrieval-augmented learning for efficient, sustainable AI.
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Modality Encoder in Multimodal Large Language Models
Explore how Modality Encoders enhance multimodal large language models by integrating diverse inputs for advanced AI.
