by Greggory Elias | Feb 19, 2025 | Enterprise AI, LLMs / NLP, Prompt Engineering
The art of crafting effective large language model (LLM) prompts has become a crucial skill for AI practitioners. Well-designed prompts can significantly enhance an LLM’s performance, enabling more accurate, relevant, and creative outputs. This blog post...
by Greggory Elias | Nov 16, 2024 | Enterprise AI, Generative AI, LLMs / NLP
Stat of the Week: 70% of AI users bring their personal AI tools to work instead of waiting for organizations to provide tools. (Microsoft) OpenAI’s new ChatGPT Canvas interface addresses several challenges present in other models head-on. This innovative feature...
by Greggory Elias | Oct 28, 2024 | Enterprise AI, LLMs / NLP, Startups + VC
As businesses strive to streamline their workflows and boost productivity, AI-assisted coding and writing platforms have emerged as powerful allies in the quest for efficiency. Two groundbreaking tools, ChatGPT Canvas and Claude Artifacts, are at the forefront of this...
by Greggory Elias | Oct 28, 2024 | Enterprise AI, Generative AI, LLMs / NLP
By seamlessly integrating advanced language models with intuitive user interfaces, ChatGPT Canvas is redefining how developers write code, manage projects, and communicate complex ideas. This powerful platform offers a myriad of features designed to streamline...
by Greggory Elias | Oct 8, 2024 | Generative AI, LLMs / NLP, Newsletter, Prompt Engineering
Stat of the Week: o1 has shown exceptional skill, ranking in the 89th percentile on Codeforces, a renowned platform for coding challenges. (OpenAI) OpenAI’s new o1 model marks a paradigm shift in how AI processes and responds to complex queries. Unlike its...
by Greggory Elias | Oct 3, 2024 | Generative AI, LLMs / NLP, Prompt Engineering
OpenAI’s o1 model isn’t just another incremental update in the world of language models. It marks a paradigm shift in how AI processes and responds to complex queries. Unlike its predecessors, o1 is designed to “think” through problems before...
by Greggory Elias | Oct 3, 2024 | Enterprise AI, Generative AI, LLMs / NLP
As enterprises and researchers grapple with increasingly complex challenges and the rise of new LLM models, the question arises: should I use OpenAI o1 for my specific needs? The o1 model, part of a new generation of AI known as reasoning models, is designed to tackle...
by Greggory Elias | Aug 29, 2024 | Enterprise AI, LLMs / NLP, Prompt Engineering
Large Language Models (LLMs) demonstrate remarkable capabilities in natural language processing (NLP) and generation. However, when faced with complex reasoning tasks, these models can struggle to produce accurate and reliable results. This is where Chain-of-Thought...
by Greggory Elias | Aug 29, 2024 | Generative AI, LLMs / NLP, Prompt Engineering
Chain-of-Thought (CoT) prompting has been hailed as a breakthrough in unlocking the reasoning capabilities of large language models (LLMs). This technique, which involves providing step-by-step reasoning examples to guide LLMs, has garnered significant attention in...
by Greggory Elias | Aug 19, 2024 | Enterprise AI, Generative AI, LLMs / NLP
The true potential of large language models (LLMs) lies not just in their vast knowledge base, but in their ability to adapt to specific tasks and domains with minimal additional training. This is where the concepts of few-shot prompting and fine-tuning come into...
by Greggory Elias | Aug 19, 2024 | Generative AI, LLMs / NLP, Research / Stats
Few-shot learning has emerged as a crucial area of research in machine learning, aiming to develop algorithms that can learn from limited labeled examples. This capability is essential for many real-world applications where data is scarce, expensive, or time-consuming...
by Greggory Elias | Aug 19, 2024 | Generative AI, LLMs / NLP, Newsletter
Stat of the Week: 72% of surveyed organizations have adopted AI in 2024, a significant jump from around 50% in previous years. (McKinsey) Meta’s recent release of Llama 3.1 has sent ripples through the enterprise world. This latest iteration of the Llama models...
by Greggory Elias | Aug 4, 2024 | Enterprise AI, Generative AI, LLMs / NLP
As organizations increasingly rely on large language models (LLMs) for various applications, from customer service chatbots to content generation, the challenge of LLM cost management has come to the forefront. The operational costs associated with deploying and...
by Greggory Elias | Aug 4, 2024 | Enterprise AI, Generative AI, LLMs / NLP
Meta has recently announced Llama 3.1, its most advanced open-source large language model (LLM) to date. This release marks a significant milestone in the democratization of AI technology, potentially bridging the gap between open-source and proprietary models. Llama...
by Greggory Elias | Aug 2, 2024 | Enterprise AI, Generative AI, LLMs / NLP
Large language models (LLMs) are transforming enterprise applications, offering unprecedented capabilities in natural language processing and generation. However, before your enterprise jumps on the LLM bandwagon, there’s a critical challenge you need to...
by Greggory Elias | Aug 2, 2024 | Enterprise AI, Generative AI, LLMs / NLP
As large language models (LLMs) continue to disrupt nearly every field and industry, they bring with them a unique challenge: hallucinations. These AI-generated inaccuracies pose a significant risk to the reliability and trustworthiness of LLM outputs. What are LLM...
by Greggory Elias | Aug 2, 2024 | Enterprise AI, Generative AI, LLMs / NLP
As AI agents become increasingly prevalent in enterprise solutions, the management of Large Language Model (LLM) costs has emerged as a critical concern for developers and businesses alike. LLMs, while powerful, can be expensive to operate, especially at scale. The...
by Greggory Elias | Aug 2, 2024 | Enterprise AI, Generative AI, LLMs / NLP
As AI agents grow in sophistication, developers face significant challenges in ensuring their reliability, performance, and cost-effectiveness. The development and monitoring of AI agents present unique hurdles, including: Managing the intricacies of multi-agent... 
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