3. Create Websites & Landing Pages: ChatGPT is a superpower. No need to waste time on creating landing pages from scratch. Use ChatGPT to do it. GPT-4 can transform a sketch into website code to create fully functional websites and apps.
PROMPT ENGINEERING
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Extended Context Windows Enable Better AI Processing and Reasoning
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Imagine providing lots of context and still having tokens left to elaborate and ask questions with near-perfect memory. The only drawback is that it takes a little longer to process the information, but honestly, it's a trade-off I am willing to accept for better results.
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Gemini 1.5 Pro Analyzes Tokenization Video Content
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Gemini 1.5 Pro is super impressive. I am feeding it @karpathy
's new lesson on Tokenization, and I can easily: – Summarize the video.
– Identify the most important concepts.
– List action items for further exploration. I broke the video down into 30-minute chunks. -
Adapters: The Future of LLMs – Fine-tuning Discussion
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Last Chance to Save Your Spot: 5 Reasons Why #Adapters are the Future of #LLMs. Join an interactive discussion w/ @DalianaLiu + @GeoffreyAngus on all things fine-tuning, #opensource LLMs and adapter-based training. Bring your questions! https://
pbase.ai/3uDChy7 -
Poe Launches Image Understanding Across All Platforms
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We're excited to see how you use image understanding. It's available immediately on web and across all Poe apps on all platforms! (3/3)
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RAG Query Translation Step-Back Prompting Technique
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RAG From Scratch: Query Translation (Step-Back) Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is the fourth in our videos on Query Translation, focused on step-back prompting from @denny_zhou
's group at DeepMind. -
Historical Accuracy vs Representation in AI Generated Content
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Isn’t the outrage overblown? There may be some historical inaccuracies but people seem annoyed about stuff like prompts for 17th century physicists/mathematicians showing Arab/Asian/African people and not Europeans. Surely that’s not inaccurate, just unrepresentative?
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Actor Reflection with Episodic Memory for Agent Learning
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2/ Reflexion The actor reflects on each response, using citations for more actionable critique. Reflections stored in chat history as an "episodic memory buffer" to help the agent learn from past iterations. This better steers the generator in responding to the feedback.
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Reflection Agents Improve AI System Success Rates
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Reflection Agents Reflection can improve the success rate of agents and similar AI systems by instructing the agent to explicitly critique and learn from past actions. This has been shown to improve outcomes across a number of domains, from program synthesis to multi-step
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Enhance Open-Source LLMs Quality Data Few-Shot Prompting
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Improve open-source #LLMs with quality data, few-shot prompting, stacking, and merging — @AbacusAI is leading the way with these innovations: https://
blog.abacus.ai/blog/2024/01/1
1/the-open-source-cookbook-how-to-soup-up-your-open-source-llm/
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#AI #MachineLearning #DeepLearning #DataScience ————
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