Adapting OpenAI / Cohere / Sentence Transformer Embeddings For Your Chatbot 18 implied HN points • 21 Apr 23 🕹 Technology AI Machine Learning Chatbot Training Improving the retrieval of your chatbot can enhance generation. Data preparation for training a QnA engine involves scenarios with raw text, positive pairs, and negative pairs. Training options include training the encoder with pos and neg pairs, training with triplets, or using a late interaction model.
LLM Chronicles #6: How To Build Competitive Advantage In AI Startups? 12 implied HN points • 10 May 23 🕹 Technology AI Startups Innovations Strategies Competitive advantage Business Models Focus on building a competitive advantage in AI startups by leveraging niche markets and verticals. Consider using open-source AI models and iterating smaller models to strengthen the modeling moat. Explore value-based pricing, outcome-based pricing, and other strategies to align pricing with customer needs in AI startups.
Will LLMs Make NLP Scientists Jobless? 12 implied HN points • 21 Mar 23 🕹 Technology AI NLP Data science Machine Learning Innovation Technological progress leads to job displacement but also creates new opportunities. Understanding when and where to use LLMs is crucial for NLP engineers to deliver value. NLP engineers may see a shift from the need for researchers to the demand for full-stack engineers due to advancements in LLM technology.
LLM Chronicles #7: How To Evaluate LLMs? | Open LLM Leaderboard 6 implied HN points • 04 Aug 23 🕹 Technology Benchmarking Model performance The emergence of LLMs fuels debates and expectations for AGI LLM evaluation involves diverse capabilities and automated methods Open LLM Leaderboard assesses reasoning, knowledge, and bias in language models
LLM Chronicles #5: GPT For Ecommerce Search Engine With Pinecone 8 implied HN points • 09 May 23 🕹 Technology ML Search Engine GPT Ecommerce Data science In certain scenarios, companies use 2 types of hybrid search: weighted scoring and filter and rerank, especially prevalent in e-commerce. GPT can be leveraged for query understanding to parse out complex queries and populate Elasticsearch/Solr with detected entities. Although using GPT-4 for this purpose may be costly and slow, training an open-source model like MPT-7B can be a more viable option.
LLM Chronicles #3: How Tools Work In Langchain? 6 implied HN points • 27 Apr 23 🕹 Technology Programming Artificial Intelligence Tools Data science Machine Learning Learned how to define custom tools in Langchain Understood how tool information is added to prompts for the user Explored the process of parsing and invoking tools for decision-making
How To Leverage Emergent Abilities Of LLMs 3 HN points • 25 Apr 23 🕹 Technology AI Machine Learning Language Models Tools Evaluation LLMs need to reason, act, reflect, and ask for improved task performance. ReAct method improves LLM reasoning and acting abilities for better task completion. Self-Refine framework helps LLMs improve their text generation by receiving feedback and refining.